iPhone17,2
Geekbench AI Score
5743
Single Precision Score
6474
Half Precision Score
6038
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | November 07 2024 04:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2893
538.0 IPS |
|
|
Image Classification (HP)
|
100% |
2057
382.5 IPS |
|
|
Image Classification (Q)
|
97% |
2877
536.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3469
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4472
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4452
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15876
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16352
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15599
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3263
258.8 IPS |
|
|
Object Detection (HP)
|
100% |
3540
280.8 IPS |
|
|
Object Detection (Q)
|
91% |
2875
229.7 IPS |
|
|
Face Detection (SP)
|
100% |
7823
93.0 IPS |
|
|
Face Detection (HP)
|
100% |
10757
127.8 IPS |
|
|
Face Detection (Q)
|
100% |
7227
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13531
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14594
112.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12798
100.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33312
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39330
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
35648
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7996
295.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8252
304.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6834
252.4 IPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
887
15.3 IPS |
