iPhone 15 Pro
Geekbench AI Score
3736
Single Precision Score
6868
Half Precision Score
5611
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 04:14 PM |
| Views | 1 |
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% |
1552
288.6 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.8 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3030
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7137
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
15927
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13767
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.9 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.2 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6661
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3787
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6589
50.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12612
97.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8911
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20110
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32835
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25790
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4490
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5622
207.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4333
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5516
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7304
126.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7452
128.8 IPS |
