iPhone 15 Pro
Geekbench AI Score
3686
Single Precision Score
6799
Half Precision Score
5558
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 07:08 AM |
| Views | 2 |
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% |
1584
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
2988
555.6 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3005
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6899
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
15866
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13483
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
97% |
3219
256.3 IPS |
|
|
Object Detection (Q)
|
94% |
2314
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6652
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3677
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6499
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12570
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8768
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19921
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32188
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26452
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5639
208.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4351
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6996
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7153
123.6 IPS |
