iPhone17,2
Geekbench AI Score
5757
Single Precision Score
6556
Half Precision Score
5993
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 03 2024 12:13 AM |
| Views | 11 |
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% |
2850
530.0 IPS |
|
|
Image Classification (HP)
|
100% |
2139
397.9 IPS |
|
|
Image Classification (Q)
|
97% |
2596
484.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3356
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4456
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4420
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15792
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16439
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15699
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3246
257.5 IPS |
|
|
Object Detection (HP)
|
100% |
3441
273.0 IPS |
|
|
Object Detection (Q)
|
91% |
2861
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
7920
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
11045
131.2 IPS |
|
|
Face Detection (Q)
|
100% |
7672
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14040
108.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15315
118.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12464
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32483
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38295
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37407
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8041
296.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8427
311.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6804
251.2 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6024
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5811
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
820
14.2 IPS |
