iPhone 15 Pro Max
Geekbench AI Score
3848
Single Precision Score
6912
Half Precision Score
5676
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 08:33 PM |
| Views | 1 |
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% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.9 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3032
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7864
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
16895
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14382
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
97% |
3276
260.8 IPS |
|
|
Object Detection (Q)
|
94% |
2358
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6693
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3834
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6882
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12728
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8946
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21260
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33744
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27967
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5673
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4397
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5449
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5438
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3121
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7336
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7263
125.5 IPS |
