iPhone 15 Pro Max
Geekbench AI Score
3812
Single Precision Score
7012
Half Precision Score
5675
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 02:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1555
289.3 IPS |
|
|
Image Classification (HP)
|
100% |
2988
555.8 IPS |
|
|
Image Classification (Q)
|
96% |
2049
382.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7590
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
16684
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14229
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1669
132.4 IPS |
|
|
Object Detection (HP)
|
97% |
3223
256.6 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6635
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3804
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6756
52.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12669
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8867
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20981
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33789
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27249
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4650
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6092
225.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4474
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3313
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5691
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5574
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7291
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7311
126.3 IPS |
