iPhone 15 Pro
Geekbench AI Score
4164
Single Precision Score
4622
Half Precision Score
4258
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | MrMage |
| Upload Date | August 20 2024 07:45 PM |
| Views | 10 |
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% |
1752
325.8 IPS |
|
|
Image Classification (HP)
|
100% |
1753
325.9 IPS |
|
|
Image Classification (Q)
|
99% |
2183
407.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3061
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3914
63.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3914
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14961
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15877
18.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14595
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
2685
212.9 IPS |
|
|
Object Detection (Q)
|
92% |
2210
176.4 IPS |
|
|
Face Detection (SP)
|
100% |
6530
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
8526
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
5913
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11499
88.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12885
99.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
13123
101.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29758
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34699
44.6 IPS |
|
|
Style Transfer (Q)
|
100% |
34552
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6287
232.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6605
243.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5481
203.1 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.9 IPS |
|
|
Text Classification (HP)
|
100% |
516
688.5 IPS |
|
|
Text Classification (Q)
|
93% |
308
413.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1574
27.2 IPS |
