iPhone 13 Pro Max
Geekbench AI Score
3261
Single Precision Score
19678
Half Precision Score
22199
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 04:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
7874
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
9680
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12350
200.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13987
226.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6521
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
90682
105.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
93346
109.4 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
99% |
10304
819.7 IPS |
|
|
Object Detection (Q)
|
91% |
12060
963.7 IPS |
|
|
Face Detection (SP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
28432
337.8 IPS |
|
|
Face Detection (Q)
|
100% |
35414
420.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5256
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55305
426.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
70661
552.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17840
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
170366
219.0 IPS |
|
|
Style Transfer (Q)
|
96% |
165638
213.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3877
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26349
973.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28476
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2323
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5986
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6956
120.2 IPS |
