iPhone 15 Pro
Geekbench AI Score
3752
Single Precision Score
6943
Half Precision Score
5664
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 04:09 PM |
| Views | 1 |
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% |
1534
285.4 IPS |
|
|
Image Classification (HP)
|
100% |
2968
552.0 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2989
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7196
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
16197
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13832
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
97% |
3241
258.0 IPS |
|
|
Object Detection (Q)
|
94% |
2355
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6700
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3809
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6691
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12719
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8912
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20636
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33216
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27402
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4688
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5793
213.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4385
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5694
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7405
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7401
127.9 IPS |
