iPhone 15 Pro
Geekbench AI Score
5056
Single Precision Score
5991
Half Precision Score
5295
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 17 2025 08:59 PM |
| Views | 2 |
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% |
2425
451.1 IPS |
|
|
Image Classification (HP)
|
100% |
2558
475.6 IPS |
|
|
Image Classification (Q)
|
97% |
2110
393.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3763
61.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3781
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13150
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13890
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13227
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
2787
221.1 IPS |
|
|
Object Detection (Q)
|
91% |
2369
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
6513
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
8649
102.8 IPS |
|
|
Face Detection (Q)
|
100% |
6134
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11026
84.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11875
91.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10436
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27259
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32007
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30570
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6065
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6367
235.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5294
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5278
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1348
23.3 IPS |
