iPhone17,2
Geekbench AI Score
4500
Single Precision Score
32742
Half Precision Score
45581
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1995
370.9 IPS |
|
|
Image Classification (HP)
|
100% |
15239
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20475
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18140
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23932
387.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8884
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154506
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
294006
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2122
168.3 IPS |
|
|
Object Detection (HP)
|
100% |
16279
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22454
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41714
495.7 IPS |
|
|
Face Detection (Q)
|
100% |
56828
675.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7922
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95253
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161332
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23948
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245664
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
306783
395.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5510
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50711
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86455
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4345
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4358
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3683
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9471
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11293
195.2 IPS |
