iPhone 15 Pro Max
Geekbench AI Score
3985
Single Precision Score
6910
Half Precision Score
5697
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1656
307.9 IPS |
|
|
Image Classification (HP)
|
100% |
2892
537.9 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3028
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8490
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
17206
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14799
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
97% |
3293
262.2 IPS |
|
|
Object Detection (Q)
|
94% |
2371
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6771
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3855
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7052
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12731
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8958
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22154
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34719
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28367
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4990
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5672
209.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4403
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7120
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7102
122.7 IPS |
