iPhone 15 Pro
Geekbench AI Score
3924
Single Precision Score
6859
Half Precision Score
5629
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 06:20 PM |
| Views | 3 |
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% |
1678
312.1 IPS |
|
|
Image Classification (HP)
|
100% |
2888
537.0 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3027
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8067
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
16529
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14354
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (HP)
|
97% |
3279
261.0 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6766
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3785
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6821
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12667
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8909
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21069
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33729
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27750
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4812
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5649
208.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4375
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3159
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5235
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5209
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7342
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7212
124.6 IPS |
