iPhone 15 Pro
Geekbench AI Score
3610
Single Precision Score
6769
Half Precision Score
5574
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 08 2026 09:12 PM |
| Views | 10 |
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% |
1529
284.4 IPS |
|
|
Image Classification (HP)
|
100% |
2985
555.1 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2991
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6557
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
14721
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13426
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
6654
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3698
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6398
49.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12571
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8783
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18852
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31496
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26488
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4349
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5609
207.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4284
158.2 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7253
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7441
128.6 IPS |
