iPhone 15 Pro
Geekbench AI Score
4947
Single Precision Score
5828
Half Precision Score
5247
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1811
336.9 IPS |
|
|
Image Classification (HP)
|
100% |
1673
311.1 IPS |
|
|
Image Classification (Q)
|
97% |
1784
332.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3092
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3946
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3993
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15098
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15862
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14822
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
2761
219.0 IPS |
|
|
Object Detection (Q)
|
91% |
2326
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
6740
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
9357
111.2 IPS |
|
|
Face Detection (Q)
|
100% |
6317
75.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11677
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12880
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10691
83.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29498
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35071
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32270
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6197
228.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6830
252.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5379
198.6 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5633
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5610
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
980
16.9 IPS |
