iPhone 15 Pro
Geekbench AI Score
4122
Single Precision Score
4700
Half Precision Score
4310
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Moklonus |
| Upload Date | August 18 2024 04:08 PM |
| Views | 16 |
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% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
1767
328.5 IPS |
|
|
Image Classification (Q)
|
99% |
2075
387.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3235
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3911
63.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3889
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14981
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15929
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14549
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
2705
214.5 IPS |
|
|
Object Detection (Q)
|
92% |
2414
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
6515
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
8725
103.7 IPS |
|
|
Face Detection (Q)
|
100% |
6021
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11745
90.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12961
99.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
13015
100.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29519
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34624
44.5 IPS |
|
|
Style Transfer (Q)
|
100% |
34352
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6178
228.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6749
249.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5453
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
485
646.9 IPS |
|
|
Text Classification (HP)
|
100% |
516
689.0 IPS |
|
|
Text Classification (Q)
|
93% |
331
444.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1609
27.8 IPS |
