iPhone 15 Pro
Geekbench AI Score
3694
Single Precision Score
6821
Half Precision Score
5603
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 02:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.4 IPS |
|
|
Image Classification (Q)
|
96% |
2051
383.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6960
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
15506
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13618
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1628
129.2 IPS |
|
|
Object Detection (HP)
|
97% |
3258
259.4 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3759
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6528
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12699
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8768
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19630
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32223
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26568
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4389
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5594
206.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4359
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5653
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7279
125.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7298
126.1 IPS |
