iPhone 15 Pro
Geekbench AI Score
4251
Single Precision Score
4752
Half Precision Score
1628
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:09 AM |
| Views | 1 |
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% |
1825
339.5 IPS |
|
|
Image Classification (HP)
|
100% |
1732
322.2 IPS |
|
|
Image Classification (Q)
|
97% |
1756
327.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3148
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3868
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3986
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14985
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16001
18.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
14639
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
3074
243.9 IPS |
|
|
Object Detection (Q)
|
92% |
2425
193.5 IPS |
|
|
Face Detection (SP)
|
100% |
6651
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
8780
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
6071
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11839
91.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12809
98.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29778
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35177
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32589
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6187
228.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6588
243.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5396
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.0 IPS |
|
|
Text Classification (HP)
|
100% |
507
677.0 IPS |
|
|
Text Classification (Q)
|
93% |
314
422.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1350
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1573
27.2 IPS |
