iPhone17,2
Geekbench AI Score
2764
Single Precision Score
3423
Half Precision Score
2851
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 05:04 PM |
| Views | 3 |
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 | 1.62 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1029
191.3 IPS |
|
|
Image Classification (HP)
|
100% |
904
168.1 IPS |
|
|
Image Classification (Q)
|
97% |
660
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2994
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6641
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
7515
8.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
7116
8.34 IPS |
|
|
Object Detection (SP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (HP)
|
100% |
1486
117.8 IPS |
|
|
Object Detection (Q)
|
91% |
1378
110.1 IPS |
|
|
Face Detection (SP)
|
100% |
4406
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
6604
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3293
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7214
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7629
58.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6131
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15659
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26057
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22896
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3097
114.3 IPS |
|
|
Text Classification (SP)
|
100% |
1405
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2387
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
98% |
536
9.26 IPS |
