iPhone17,2
Geekbench AI Score
4563
Single Precision Score
7753
Half Precision Score
6217
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3376
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9175
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17629
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15697
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.2 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
7524
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4266
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7952
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14289
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9976
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24490
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37987
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30905
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5700
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6916
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6011
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3783
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7054
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7025
121.4 IPS |
