iPhone 15 Pro
Geekbench AI Score
4992
Single Precision Score
5713
Half Precision Score
5173
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (HP)
|
100% |
1693
314.8 IPS |
|
|
Image Classification (Q)
|
97% |
1773
330.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3102
50.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3958
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3971
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14988
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15814
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14737
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2712
215.2 IPS |
|
|
Object Detection (HP)
|
100% |
2719
215.6 IPS |
|
|
Object Detection (Q)
|
91% |
2466
197.0 IPS |
|
|
Face Detection (SP)
|
100% |
6279
74.6 IPS |
|
|
Face Detection (HP)
|
100% |
8757
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
6208
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11440
88.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12502
96.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10605
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29476
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34945
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32298
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6342
234.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6718
248.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5297
195.6 IPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5411
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
880
15.2 IPS |
