iPhone 15 Pro Max
Geekbench AI Score
3810
Single Precision Score
6901
Half Precision Score
5672
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 10:22 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% |
1590
295.7 IPS |
|
|
Image Classification (HP)
|
100% |
2960
550.4 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3046
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7622
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
16799
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14334
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
97% |
3270
260.4 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6697
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3822
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6815
52.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12858
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8976
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20865
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33239
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27660
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4643
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5614
207.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4365
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5440
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7253
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7287
125.9 IPS |
