iPhone17,2
Geekbench AI Score
4402
Single Precision Score
7611
Half Precision Score
6043
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 05:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
3374
627.4 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3352
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8335
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
17233
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14707
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2617
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7379
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
3999
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7328
56.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13731
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9349
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22964
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35823
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29334
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5385
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6853
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4899
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5913
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7050
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6962
120.3 IPS |
