iPhone17,2
Geekbench AI Score
4315
Single Precision Score
4823
Half Precision Score
5052
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2024 12:18 PM |
| Views | 4 |
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 | 2.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1794
333.7 IPS |
|
|
Image Classification (HP)
|
100% |
1512
281.2 IPS |
|
|
Image Classification (Q)
|
97% |
1798
335.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3204
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4331
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9416
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9327
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12444
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
3240
257.0 IPS |
|
|
Object Detection (Q)
|
91% |
2740
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
7155
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
8378
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
6969
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12850
99.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12794
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12502
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25211
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24947
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27998
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6436
237.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6413
236.8 IPS |
|
|
Text Classification (SP)
|
100% |
1932
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4120
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
633
10.9 IPS |
