iPhone 15 Pro
Geekbench AI Score
3930
Single Precision Score
6799
Half Precision Score
5947
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 11:41 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% |
1676
311.7 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.9 IPS |
|
|
Image Classification (Q)
|
99% |
2941
548.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2357
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7816
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
16055
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13879
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (HP)
|
97% |
3362
267.6 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6727
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3826
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7001
53.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13416
103.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
13485
104.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20915
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31961
41.1 IPS |
|
|
Style Transfer (Q)
|
100% |
32312
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4845
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5786
213.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4317
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5595
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6193
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6129
105.9 IPS |
