iPhone 15 Pro
Geekbench AI Score
4146
Single Precision Score
4675
Half Precision Score
1631
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 10 2024 06:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1756
326.6 IPS |
|
|
Image Classification (HP)
|
100% |
1717
319.3 IPS |
|
|
Image Classification (Q)
|
97% |
1807
337.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3066
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3859
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3977
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14766
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15694
18.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
14789
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (Q)
|
92% |
2200
175.6 IPS |
|
|
Face Detection (SP)
|
100% |
6973
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
9227
109.6 IPS |
|
|
Face Detection (Q)
|
100% |
6426
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12240
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12999
100.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28945
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34855
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34902
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6151
227.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6541
241.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5285
195.2 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.9 IPS |
|
|
Text Classification (HP)
|
100% |
492
656.3 IPS |
|
|
Text Classification (Q)
|
93% |
305
409.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1577
27.3 IPS |
