ASUS System Product Name
Geekbench AI Score
33708
Single Precision Score
49394
Half Precision Score
25937
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 05:08 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12895
2.40 KIPS |
|
|
Image Classification (HP)
|
99% |
17915
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
11002
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21656
351.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
27661
448.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20298
330.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
268690
313.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
521959
609.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
238493
279.3 IPS |
|
|
Object Detection (SP)
|
100% |
16785
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
23708
1.88 KIPS |
|
|
Object Detection (Q)
|
89% |
14518
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
44830
532.7 IPS |
|
|
Face Detection (HP)
|
100% |
57217
679.9 IPS |
|
|
Face Detection (Q)
|
97% |
38118
454.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
76848
592.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
150693
1.16 KIPS |
|
|
Depth Estimation (Q)
|
70% |
58117
486.8 IPS |
|
|
Style Transfer (SP)
|
100% |
402383
517.3 IPS |
|
|
Style Transfer (HP)
|
100% |
916372
1.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
355546
458.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55250
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74230
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42103
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3647
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
4490
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2303
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5384
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5354
92.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2334
52.1 IPS |
