iPhone17,2
Geekbench AI Score
4287
Single Precision Score
7400
Half Precision Score
5889
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 07:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
3313
616.1 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3275
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8234
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
15863
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13223
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2002
158.8 IPS |
|
|
Object Detection (HP)
|
97% |
3676
292.7 IPS |
|
|
Object Detection (Q)
|
94% |
2565
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
7093
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
3921
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7125
54.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13274
102.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9346
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22286
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35278
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28835
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5117
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6758
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4755
175.6 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5865
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6720
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6770
117.0 IPS |
