iPhone 15 Pro
Geekbench AI Score
3861
Single Precision Score
6852
Half Precision Score
5619
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1674
311.4 IPS |
|
|
Image Classification (HP)
|
100% |
2887
536.8 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3010
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7409
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
15815
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13708
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2346
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6718
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3771
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6809
52.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12637
97.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8908
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20298
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33462
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27417
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4647
171.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5601
206.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4367
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5585
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5401
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7411
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7311
126.3 IPS |
