iPhone17,2
Geekbench AI Score
4306
Single Precision Score
7456
Half Precision Score
5932
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | obb1009 |
| Upload Date | September 24 2024 05:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1968
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.9 IPS |
|
|
Image Classification (Q)
|
96% |
2249
420.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2876
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3282
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8159
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
16679
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14192
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1999
158.5 IPS |
|
|
Object Detection (HP)
|
97% |
3676
292.7 IPS |
|
|
Object Detection (Q)
|
94% |
2586
206.1 IPS |
|
|
Face Detection (SP)
|
100% |
3419
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
7065
83.9 IPS |
|
|
Face Detection (Q)
|
100% |
3947
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7161
55.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13301
102.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9193
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22331
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35328
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28808
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5185
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6720
248.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4727
174.5 IPS |
|
|
Text Classification (SP)
|
100% |
3453
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6860
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6865
118.6 IPS |
