iPhone17,2
Geekbench AI Score
5772
Single Precision Score
6539
Half Precision Score
6095
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:21 PM |
| Views | 2 |
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% |
2958
550.1 IPS |
|
|
Image Classification (HP)
|
100% |
1989
369.8 IPS |
|
|
Image Classification (Q)
|
97% |
2829
528.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3394
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4408
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4402
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15547
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16439
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15682
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3146
249.6 IPS |
|
|
Object Detection (HP)
|
100% |
3476
275.7 IPS |
|
|
Object Detection (Q)
|
91% |
2850
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
7891
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
11047
131.3 IPS |
|
|
Face Detection (Q)
|
100% |
7583
90.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13946
107.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15191
117.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12276
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32551
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38343
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
36989
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7971
294.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8257
304.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6654
245.7 IPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5849
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
949
16.4 IPS |
