iPhone 15 Pro
Geekbench AI Score
3635
Single Precision Score
5403
Half Precision Score
4685
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1707
317.4 IPS |
|
|
Image Classification (HP)
|
100% |
2183
405.9 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2057
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7226
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
15595
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13563
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.4 IPS |
|
|
Object Detection (HP)
|
97% |
2558
203.6 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
2909
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
3121
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6146
47.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
9435
72.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
7140
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19483
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29892
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25207
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4479
165.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5600
206.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4323
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
3134
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5204
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5180
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2756
47.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4545
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4521
78.1 IPS |
