iPhone 15 Pro
Geekbench AI Score
3818
Single Precision Score
6950
Half Precision Score
5677
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 12:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1563
290.7 IPS |
|
|
Image Classification (HP)
|
100% |
2969
552.2 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3028
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7624
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
15973
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14025
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
97% |
3258
259.4 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6686
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3798
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6896
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12738
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8864
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20416
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32655
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27811
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4410
162.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4437
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5891
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5838
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7005
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7062
122.0 IPS |
