iPhone 15 Pro
Geekbench AI Score
3944
Single Precision Score
6820
Half Precision Score
5949
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1710
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
2908
540.8 IPS |
|
|
Image Classification (Q)
|
99% |
2935
547.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2390
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7807
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
16103
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14000
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
3337
265.7 IPS |
|
|
Object Detection (Q)
|
94% |
2329
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6736
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3863
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7033
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13486
104.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
13550
104.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21099
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32184
41.4 IPS |
|
|
Style Transfer (Q)
|
100% |
32137
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5756
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4330
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5660
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6125
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6132
106.0 IPS |
