ASUS System Product Name
Geekbench AI Score
2272
Single Precision Score
3249
Half Precision Score
5170
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | morglor |
| Upload Date | August 20 2024 06:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1467
272.8 IPS |
|
|
Image Classification (HP)
|
100% |
2516
467.9 IPS |
|
|
Image Classification (Q)
|
99% |
3506
653.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3630
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4126
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4101
4.78 IPS |
|
|
Pose Estimation (HP)
|
99% |
2995
3.49 IPS |
|
|
Pose Estimation (Q)
|
97% |
12153
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
98% |
2174
173.0 IPS |
|
|
Object Detection (Q)
|
90% |
3850
307.8 IPS |
|
|
Face Detection (SP)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7311
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
9969
118.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4782
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8064
62.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
11421
90.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10760
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18484
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27956
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3097
114.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6288
232.9 IPS |
|
|
Text Classification (SP)
|
71% |
581
840.0 IPS |
|
|
Text Classification (HP)
|
71% |
725
1.05 KIPS |
|
|
Text Classification (Q)
|
92% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (HP)
|
98% |
903
15.6 IPS |
|
|
Machine Translation (Q)
|
89% |
1343
23.3 IPS |
