ASUS System Product Name
Geekbench AI Score
29202
Single Precision Score
41578
Half Precision Score
22216
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | x43x61x69 |
| Upload Date | October 02 2024 04:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt B650-CREATOR |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11087
2.06 KIPS |
|
|
Image Classification (HP)
|
99% |
15375
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
9473
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17393
282.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21308
345.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16316
265.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
243064
283.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
429098
500.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
209930
245.8 IPS |
|
|
Object Detection (SP)
|
100% |
13971
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
19255
1.53 KIPS |
|
|
Object Detection (Q)
|
89% |
11467
918.0 IPS |
|
|
Face Detection (SP)
|
100% |
36948
439.0 IPS |
|
|
Face Detection (HP)
|
100% |
46159
548.5 IPS |
|
|
Face Detection (Q)
|
97% |
31018
369.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
69659
536.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
126273
975.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
53279
429.2 IPS |
|
|
Style Transfer (SP)
|
100% |
357535
459.6 IPS |
|
|
Style Transfer (HP)
|
100% |
809308
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
312628
403.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46887
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65672
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36863
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3636
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4238
5.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2134
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4390
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4345
74.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1937
43.2 IPS |
