ASUS System Product Name
Geekbench AI Score
12583
Single Precision Score
20563
Half Precision Score
8491
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | DanBal76 |
| Upload Date | August 17 2024 06:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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% |
5183
963.8 IPS |
|
|
Image Classification (HP)
|
99% |
8497
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
3862
718.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7845
127.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10873
176.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6585
107.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
69825
81.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
174605
203.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
57246
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
6182
490.3 IPS |
|
|
Object Detection (HP)
|
100% |
10448
828.7 IPS |
|
|
Object Detection (Q)
|
89% |
4851
388.3 IPS |
|
|
Face Detection (SP)
|
100% |
13955
165.8 IPS |
|
|
Face Detection (HP)
|
100% |
20898
248.3 IPS |
|
|
Face Detection (Q)
|
97% |
10535
125.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
31180
240.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
58976
454.4 IPS |
|
|
Depth Estimation (Q)
|
71% |
20708
172.0 IPS |
|
|
Style Transfer (SP)
|
100% |
115252
148.2 IPS |
|
|
Style Transfer (HP)
|
100% |
277653
356.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92801
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18928
698.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29984
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12678
469.5 IPS |
|
|
Text Classification (SP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3077
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1078
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2524
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (Q)
|
60% |
997
22.2 IPS |
