iPhone 15 Pro
Geekbench AI Score
3728
Single Precision Score
6816
Half Precision Score
5595
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 07:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1596
296.8 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.8 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
15192
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13630
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1628
129.2 IPS |
|
|
Object Detection (HP)
|
97% |
3267
260.1 IPS |
|
|
Object Detection (Q)
|
94% |
2346
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6692
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3706
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6582
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12628
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8819
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20246
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32513
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26747
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4447
164.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5666
209.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4336
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5439
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7441
128.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7310
126.3 IPS |
