iPhone 15 Pro Max
Geekbench AI Score
3743
Single Precision Score
6853
Half Precision Score
5643
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | burakfirat |
| Upload Date | November 23 2025 01:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1488
276.8 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.7 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3011
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7482
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
16420
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14313
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1655
131.3 IPS |
|
|
Object Detection (HP)
|
97% |
3267
260.1 IPS |
|
|
Object Detection (Q)
|
94% |
2349
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6701
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3801
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6702
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12586
97.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8909
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20553
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33249
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27266
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4618
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4394
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7193
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7207
124.5 IPS |
