iPhone 15 Pro
Geekbench AI Score
3858
Single Precision Score
6836
Half Precision Score
5583
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 15 2025 09:51 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1667
310.0 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.1 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3045
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7527
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
15755
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13738
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1757
139.4 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.2 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6729
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3710
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6777
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12649
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8922
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20908
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33684
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27662
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5588
206.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4360
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5053
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7431
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7303
126.2 IPS |
