ASUS System Product Name
Geekbench AI Score
4665
Single Precision Score
4732
Half Precision Score
11940
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | likelake |
| Upload Date | November 07 2024 12:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2999
557.7 IPS |
|
|
Image Classification (HP)
|
100% |
3099
576.4 IPS |
|
|
Image Classification (Q)
|
100% |
7770
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3908
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3990
64.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6902
111.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6512
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
24564
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2903
230.3 IPS |
|
|
Object Detection (HP)
|
100% |
2955
234.4 IPS |
|
|
Object Detection (Q)
|
88% |
8238
660.4 IPS |
|
|
Face Detection (SP)
|
100% |
6721
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
6725
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
19952
237.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8094
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8202
63.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
20397
158.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18989
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19645
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
66052
85.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4185
154.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4154
153.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13757
509.5 IPS |
|
|
Text Classification (SP)
|
100% |
1366
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1412
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3720
64.1 IPS |
