iPhone 15 Pro
Geekbench AI Score
3931
Single Precision Score
6929
Half Precision Score
5669
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 12:24 PM |
| 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% |
1670
310.6 IPS |
|
|
Image Classification (HP)
|
100% |
2985
555.0 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3034
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8033
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
16438
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14325
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
97% |
3275
260.7 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6760
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3813
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6858
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12788
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8917
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21164
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34133
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27859
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5679
209.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4378
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5382
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5396
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7418
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7309
126.3 IPS |
