iPhone 15 Pro Max
Geekbench AI Score
3641
Single Precision Score
6694
Half Precision Score
5409
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 09:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1459
271.3 IPS |
|
|
Image Classification (HP)
|
100% |
2922
543.5 IPS |
|
|
Image Classification (Q)
|
96% |
2002
373.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2877
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6918
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
14512
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12734
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
97% |
3223
256.6 IPS |
|
|
Object Detection (Q)
|
94% |
2278
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6399
76.0 IPS |
|
|
Face Detection (Q)
|
100% |
3612
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6492
50.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12369
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8619
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19512
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31604
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25987
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4403
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4286
158.3 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5302
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5334
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7048
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6949
120.1 IPS |
