iPhone 15 Pro
Geekbench AI Score
5056
Single Precision Score
5821
Half Precision Score
5639
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
1858
345.4 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3667
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4188
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4075
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13052
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15024
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14399
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2275
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
2540
201.5 IPS |
|
|
Object Detection (Q)
|
92% |
2532
202.1 IPS |
|
|
Face Detection (SP)
|
100% |
6354
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
8443
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
6989
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10899
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12182
93.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11243
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26970
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32452
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33160
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5594
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5786
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5311
196.1 IPS |
|
|
Text Classification (SP)
|
100% |
3128
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5369
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5402
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1437
24.8 IPS |
