iPhone 15 Pro
Geekbench AI Score
4976
Single Precision Score
5755
Half Precision Score
4380
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 22 2024 12:18 PM |
| Views | 8 |
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% |
1950
362.7 IPS |
|
|
Image Classification (HP)
|
100% |
1791
333.0 IPS |
|
|
Image Classification (Q)
|
99% |
1870
348.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3112
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3930
63.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3963
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15094
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15901
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14250
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
100% |
2768
219.6 IPS |
|
|
Object Detection (Q)
|
91% |
2399
191.7 IPS |
|
|
Face Detection (SP)
|
100% |
6360
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
8843
105.1 IPS |
|
|
Face Detection (Q)
|
100% |
6177
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11821
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12695
97.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
1838
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29505
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35489
45.6 IPS |
|
|
Style Transfer (Q)
|
100% |
35283
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6348
234.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6557
242.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5291
196.0 IPS |
|
|
Text Classification (SP)
|
100% |
3117
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5252
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5254
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
922
15.9 IPS |
