iPhone 15 Pro
Geekbench AI Score
3966
Single Precision Score
7028
Half Precision Score
5696
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1628
302.8 IPS |
|
|
Image Classification (HP)
|
100% |
2986
555.3 IPS |
|
|
Image Classification (Q)
|
96% |
2046
382.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3033
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8420
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17019
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14560
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.3 IPS |
|
|
Object Detection (HP)
|
97% |
3312
263.7 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6710
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3792
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7023
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12753
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8988
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21468
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34781
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28058
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4928
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5952
219.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4489
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
6004
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3165
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6888
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6700
115.8 IPS |
