Mac16,9
Geekbench AI Score
5603
Single Precision Score
36695
Half Precision Score
49909
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 10:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2151
400.0 IPS |
|
|
Image Classification (HP)
|
100% |
17207
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
21907
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22738
368.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31425
509.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18449
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122622
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228992
268.4 IPS |
|
|
Object Detection (SP)
|
100% |
2614
207.3 IPS |
|
|
Object Detection (HP)
|
100% |
19529
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23573
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4862
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
44275
526.1 IPS |
|
|
Face Detection (Q)
|
100% |
58441
694.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8910
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110053
847.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
176675
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
26171
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232834
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296122
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6104
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45691
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77920
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6561
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
6195
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16470
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16510
285.3 IPS |
