iPhone 15 Pro
Geekbench AI Score
3710
Single Precision Score
6847
Half Precision Score
5629
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | awaters |
| Upload Date | March 07 2026 08:40 AM |
| Views | 9 |
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% |
1561
290.3 IPS |
|
|
Image Classification (HP)
|
100% |
2966
551.7 IPS |
|
|
Image Classification (Q)
|
96% |
2056
383.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3013
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7185
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
15858
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13860
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1623
128.7 IPS |
|
|
Object Detection (HP)
|
97% |
3264
259.9 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6659
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3785
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6562
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12553
97.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8891
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19683
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32397
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26973
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4477
165.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5758
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4401
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5440
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7317
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7290
126.0 IPS |
