2020 Full Tower ASUS System Product Name
Geekbench AI Score
1747
Single Precision Score
2525
Half Precision Score
2414
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TheSultan1 |
| Upload Date | June 01 2025 02:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z490-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10850K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1052
195.6 IPS |
|
|
Image Classification (HP)
|
100% |
1760
327.2 IPS |
|
|
Image Classification (Q)
|
100% |
1602
297.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2177
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2739
3.20 IPS |
|
|
Pose Estimation (HP)
|
99% |
2515
2.94 IPS |
|
|
Pose Estimation (Q)
|
97% |
3740
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
1047
83.0 IPS |
|
|
Object Detection (HP)
|
99% |
1680
133.6 IPS |
|
|
Object Detection (Q)
|
88% |
1564
125.5 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5069
60.2 IPS |
|
|
Face Detection (Q)
|
97% |
4582
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3187
24.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5334
41.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
4843
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7668
9.86 IPS |
|
|
Style Transfer (HP)
|
100% |
10268
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9177
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1334
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2326
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2211
81.9 IPS |
|
|
Text Classification (SP)
|
71% |
725
1.05 KIPS |
|
|
Text Classification (HP)
|
71% |
846
1.22 KIPS |
|
|
Text Classification (Q)
|
92% |
654
877.9 IPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
97% |
1110
19.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1120
19.3 IPS |
