iPhone17,2
Geekbench AI Score
5675
Single Precision Score
6687
Half Precision Score
5934
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | naaajsboy |
| Upload Date | October 03 2024 07:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2934
545.5 IPS |
|
|
Image Classification (HP)
|
100% |
2899
539.1 IPS |
|
|
Image Classification (Q)
|
97% |
2590
483.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3288
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4377
71.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4297
69.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15608
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16422
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15182
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
3427
271.8 IPS |
|
|
Object Detection (Q)
|
91% |
2849
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
7382
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
10463
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
7099
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13274
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14313
110.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11337
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32600
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37281
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34871
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7974
294.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8442
311.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6697
247.3 IPS |
|
|
Text Classification (SP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5906
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5804
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
