iPhone17,2
Geekbench AI Score
4533
Single Precision Score
7755
Half Precision Score
6184
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 04:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.8 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3389
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9072
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18241
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15469
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2129
168.9 IPS |
|
|
Object Detection (HP)
|
97% |
3818
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7513
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4225
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7735
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14162
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9810
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23945
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37613
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30617
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5657
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6950
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4967
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5841
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7092
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7032
121.5 IPS |
