iPhone 15 Pro
Geekbench AI Score
3807
Single Precision Score
6920
Half Precision Score
5681
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 08:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1572
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
2950
548.7 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3034
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7579
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
16413
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14067
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1667
132.2 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6808
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3868
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6689
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12750
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8982
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20973
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33452
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27763
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4567
168.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4339
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5448
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7559
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7502
129.6 IPS |
