iPhone 15 Pro (GPU) iPhone 15 Pro
Geekbench AI Score
5028
Single Precision Score
5816
Half Precision Score
4523
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yonis |
| Upload Date | August 15 2024 09:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1889
351.3 IPS |
|
|
Image Classification (HP)
|
100% |
1680
312.4 IPS |
|
|
Image Classification (Q)
|
99% |
2107
393.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3129
50.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3919
63.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3950
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15104
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15946
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14534
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2521
200.0 IPS |
|
|
Object Detection (HP)
|
100% |
2855
226.5 IPS |
|
|
Object Detection (Q)
|
91% |
2500
199.7 IPS |
|
|
Face Detection (SP)
|
100% |
6769
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8995
106.9 IPS |
|
|
Face Detection (Q)
|
100% |
6268
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11610
89.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12868
99.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
1839
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29674
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35348
45.4 IPS |
|
|
Style Transfer (Q)
|
100% |
35763
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6495
239.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6803
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5390
199.7 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5531
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
973
16.8 IPS |
