ASUS System Product Name
Geekbench AI Score
2465
Single Precision Score
635
Half Precision Score
2880
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | DanBal76 |
| Upload Date | August 17 2024 06:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z490-PLUS |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (HP)
|
100% |
129
23.9 IPS |
|
|
Image Classification (Q)
|
97% |
2650
494.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
97% |
1929
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4300
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3273
3.82 IPS |
|
|
Pose Estimation (Q)
|
87% |
10170
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
86% |
1595
128.2 IPS |
|
|
Face Detection (SP)
|
100% |
1975
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
237
2.82 IPS |
|
|
Face Detection (Q)
|
96% |
3276
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5215
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
755
5.82 IPS |
|
|
Depth Estimation (Q)
|
76% |
5658
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12060
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8830
11.4 IPS |
|
|
Style Transfer (Q)
|
87% |
12840
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2125
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2727
101.0 IPS |
|
|
Text Classification (SP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
571
761.8 IPS |
|
|
Text Classification (Q)
|
97% |
434
581.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1611
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
60% |
1686
37.6 IPS |
