iPhone 15 Pro
Geekbench AI Score
3669
Single Precision Score
6789
Half Precision Score
5574
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | February 12 2026 06:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1555
289.1 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.2 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2998
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7035
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
15493
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13435
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
97% |
3254
259.1 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
6657
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3739
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6416
49.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12461
96.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8765
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19150
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30940
39.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26250
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4384
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5630
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7196
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7180
124.1 IPS |
