iPhone17,2
Geekbench AI Score
5720
Single Precision Score
6676
Half Precision Score
6003
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | hass |
| Upload Date | September 22 2024 11:25 PM |
| Views | 2 |
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% |
2961
550.7 IPS |
|
|
Image Classification (HP)
|
100% |
2656
493.9 IPS |
|
|
Image Classification (Q)
|
97% |
2609
486.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3358
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4362
70.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4260
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15582
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16481
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15190
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3326
263.8 IPS |
|
|
Object Detection (HP)
|
100% |
3514
278.7 IPS |
|
|
Object Detection (Q)
|
91% |
2692
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
7530
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
10459
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
7050
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13271
102.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14385
110.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11441
89.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32641
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39181
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34913
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7976
294.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8376
309.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6729
248.5 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5872
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5808
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1216
21.0 IPS |
