iPhone 15 Pro
Geekbench AI Score
4979
Single Precision Score
5933
Half Precision Score
5365
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 29 2025 11:08 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2222
413.1 IPS |
|
|
Image Classification (HP)
|
100% |
2298
427.4 IPS |
|
|
Image Classification (Q)
|
97% |
2248
419.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3730
60.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3769
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13259
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14068
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13266
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
2941
233.3 IPS |
|
|
Object Detection (Q)
|
91% |
2343
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
6240
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
8444
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
5940
70.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10891
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11977
92.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10257
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27522
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32502
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30452
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5935
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6243
230.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5036
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1464
25.3 IPS |
