ASUS System Product Name
Geekbench AI Score
33461
Single Precision Score
46868
Half Precision Score
25473
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | Poursang |
| Upload Date | February 11 2025 03:13 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12211
2.27 KIPS |
|
|
Image Classification (HP)
|
99% |
16307
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
10455
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21687
351.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
27282
442.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20096
326.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
272016
317.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
485108
566.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
235958
276.3 IPS |
|
|
Object Detection (SP)
|
100% |
16398
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
22115
1.75 KIPS |
|
|
Object Detection (Q)
|
89% |
13377
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
44361
527.1 IPS |
|
|
Face Detection (HP)
|
100% |
55449
658.9 IPS |
|
|
Face Detection (Q)
|
97% |
37462
446.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
83207
641.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
142053
1.10 KIPS |
|
|
Depth Estimation (Q)
|
76% |
62557
504.0 IPS |
|
|
Style Transfer (SP)
|
100% |
405481
521.3 IPS |
|
|
Style Transfer (HP)
|
100% |
873288
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
355610
458.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54198
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70777
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41477
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3364
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4097
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2163
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5460
94.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5372
92.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2320
51.7 IPS |
