iPhone 15 Pro Max
Geekbench AI Score
3627
Single Precision Score
6689
Half Precision Score
5525
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 11:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1468
272.9 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.8 IPS |
|
|
Image Classification (Q)
|
96% |
2024
378.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2978
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7241
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
16093
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13771
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1617
128.3 IPS |
|
|
Object Detection (HP)
|
97% |
3147
250.6 IPS |
|
|
Object Detection (Q)
|
94% |
2296
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
6238
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3689
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6514
50.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12393
95.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8797
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20343
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32601
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27109
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4469
165.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4377
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5448
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2892
49.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6538
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6549
113.2 IPS |
