iPhone 15 Pro
Geekbench AI Score
2946
Single Precision Score
5346
Half Precision Score
4322
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 04:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1203
223.8 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.4 IPS |
|
|
Image Classification (Q)
|
96% |
1495
279.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2286
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6350
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
13243
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11239
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (HP)
|
97% |
2514
200.2 IPS |
|
|
Object Detection (Q)
|
94% |
1781
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2248
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
5016
59.6 IPS |
|
|
Face Detection (Q)
|
100% |
2776
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5318
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9645
74.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6747
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16521
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25182
32.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20831
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4245
156.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3249
120.0 IPS |
|
|
Text Classification (SP)
|
100% |
2492
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4409
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4310
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2216
38.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6088
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6086
105.2 IPS |
