iPhone 15 Pro
Geekbench AI Score
5144
Single Precision Score
5944
Half Precision Score
2048
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 02 2025 04:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2091
388.9 IPS |
|
|
Image Classification (HP)
|
100% |
2122
394.6 IPS |
|
|
Image Classification (Q)
|
97% |
1414
263.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3805
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4210
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3810
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13445
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14217
16.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
13327
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
2776
220.2 IPS |
|
|
Object Detection (Q)
|
92% |
2322
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
6515
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
8596
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
6217
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11128
85.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12143
93.6 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28245
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32133
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30220
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5794
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5621
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1431
24.7 IPS |
