iPhone 15 Pro
Geekbench AI Score
4163
Single Precision Score
4651
Half Precision Score
4292
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | demonknight9 |
| Upload Date | August 16 2024 05:50 PM |
| Views | 6 |
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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
1653
307.3 IPS |
|
|
Image Classification (Q)
|
99% |
2094
390.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3139
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3888
63.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3880
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14941
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15949
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14561
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
2761
219.0 IPS |
|
|
Object Detection (Q)
|
92% |
2261
180.4 IPS |
|
|
Face Detection (SP)
|
100% |
6429
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
8539
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
6217
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11563
89.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12983
100.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
13160
101.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29520
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34853
44.8 IPS |
|
|
Style Transfer (Q)
|
100% |
34089
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6225
229.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6686
246.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5523
204.6 IPS |
|
|
Text Classification (SP)
|
100% |
467
623.4 IPS |
|
|
Text Classification (HP)
|
100% |
509
679.1 IPS |
|
|
Text Classification (Q)
|
93% |
322
431.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1599
27.6 IPS |
