iPhone 15 Pro
Geekbench AI Score
3912
Single Precision Score
6959
Half Precision Score
5685
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 02:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1693
314.9 IPS |
|
|
Image Classification (HP)
|
100% |
2995
557.0 IPS |
|
|
Image Classification (Q)
|
96% |
2043
381.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3042
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7793
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
16171
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14053
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.6 IPS |
|
|
Object Detection (HP)
|
97% |
3331
265.2 IPS |
|
|
Object Detection (Q)
|
94% |
2368
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6798
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3833
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6853
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12835
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9019
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20978
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34003
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27614
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4769
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4427
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5690
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7031
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7099
122.7 IPS |
