iPhone 15 Pro
Geekbench AI Score
4762
Single Precision Score
5600
Half Precision Score
5008
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 02 2024 08:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1923
357.7 IPS |
|
|
Image Classification (HP)
|
100% |
2029
377.3 IPS |
|
|
Image Classification (Q)
|
97% |
1742
325.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3725
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3785
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13336
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14156
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13355
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2368
187.8 IPS |
|
|
Object Detection (HP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (Q)
|
91% |
2303
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
6269
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
8395
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
6062
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10964
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11885
91.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9979
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27758
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33231
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31386
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4979
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
920
15.9 IPS |
