iPhone 15 Pro
Geekbench AI Score
4136
Single Precision Score
4809
Half Precision Score
4414
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 10:50 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1857
345.3 IPS |
|
|
Image Classification (HP)
|
100% |
1967
365.8 IPS |
|
|
Image Classification (Q)
|
99% |
2059
384.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3885
63.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3873
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14682
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15778
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14940
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (Q)
|
92% |
2403
191.8 IPS |
|
|
Face Detection (SP)
|
100% |
6682
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
9046
107.5 IPS |
|
|
Face Detection (Q)
|
100% |
6297
74.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12085
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12987
100.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
13248
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28367
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35199
45.2 IPS |
|
|
Style Transfer (Q)
|
100% |
35899
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5974
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6518
240.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5394
199.9 IPS |
|
|
Text Classification (SP)
|
100% |
457
609.9 IPS |
|
|
Text Classification (HP)
|
100% |
501
668.2 IPS |
|
|
Text Classification (Q)
|
93% |
387
518.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1487
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1572
27.2 IPS |
