iPhone 15 Pro
Geekbench AI Score
3952
Single Precision Score
6820
Half Precision Score
5597
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1720
319.8 IPS |
|
|
Image Classification (HP)
|
100% |
2957
550.0 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3104
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7966
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
16338
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14210
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1710
135.6 IPS |
|
|
Object Detection (HP)
|
97% |
3341
266.0 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3236
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6714
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3826
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7034
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13534
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9306
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21029
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32311
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27304
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5816
214.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4430
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5440
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6094
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6126
105.9 IPS |
