iPhone17,2
Geekbench AI Score
5715
Single Precision Score
6709
Half Precision Score
5933
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2024 12:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3048
566.9 IPS |
|
|
Image Classification (HP)
|
100% |
2728
507.4 IPS |
|
|
Image Classification (Q)
|
97% |
2819
526.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3352
54.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4404
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4353
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15518
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16340
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15407
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3325
263.8 IPS |
|
|
Object Detection (HP)
|
100% |
3485
276.5 IPS |
|
|
Object Detection (Q)
|
91% |
2828
226.0 IPS |
|
|
Face Detection (SP)
|
100% |
7597
90.3 IPS |
|
|
Face Detection (HP)
|
100% |
10629
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
7107
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13205
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14332
110.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12079
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32730
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39291
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36977
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7984
294.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8364
308.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6787
250.6 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5884
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5946
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
790
13.7 IPS |
