iPhone 15 Pro
Geekbench AI Score
4186
Single Precision Score
4856
Half Precision Score
1615
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 09:26 AM |
| Views | 3 |
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% |
1805
335.6 IPS |
|
|
Image Classification (HP)
|
100% |
2087
388.0 IPS |
|
|
Image Classification (Q)
|
97% |
1766
329.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3878
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3977
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14981
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16031
18.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
14642
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
2776
220.2 IPS |
|
|
Object Detection (Q)
|
92% |
2240
178.8 IPS |
|
|
Face Detection (SP)
|
100% |
6695
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
8642
102.7 IPS |
|
|
Face Detection (Q)
|
100% |
6001
71.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11556
89.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12996
100.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29437
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35042
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33182
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6181
228.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6847
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5378
198.6 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.5 IPS |
|
|
Text Classification (HP)
|
100% |
504
673.3 IPS |
|
|
Text Classification (Q)
|
93% |
305
409.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1606
27.8 IPS |
