iPhone17,2
Geekbench AI Score
5287
Single Precision Score
6471
Half Precision Score
5688
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | aunali1 |
| Upload Date | October 22 2024 08:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
2851
530.2 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.1 IPS |
|
|
Image Classification (Q)
|
97% |
2334
435.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2697
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4065
65.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4059
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14376
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15360
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14075
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
3132
248.4 IPS |
|
|
Object Detection (HP)
|
100% |
3413
270.7 IPS |
|
|
Object Detection (Q)
|
91% |
2564
204.9 IPS |
|
|
Face Detection (SP)
|
100% |
6687
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
9922
117.9 IPS |
|
|
Face Detection (Q)
|
100% |
6560
78.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12196
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13384
103.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10986
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29515
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36037
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33332
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7390
272.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8068
297.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6350
234.5 IPS |
|
|
Text Classification (SP)
|
100% |
3458
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5972
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6012
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1131
19.5 IPS |
