ASUS System Product Name
Geekbench AI Score
25888
Single Precision Score
39283
Half Precision Score
19456
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 08:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| 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% |
10056
1.87 KIPS |
|
|
Image Classification (HP)
|
99% |
15244
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
8652
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18336
297.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23811
386.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16872
274.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
149729
174.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
348282
406.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
132584
155.3 IPS |
|
|
Object Detection (SP)
|
100% |
12902
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
20314
1.61 KIPS |
|
|
Object Detection (Q)
|
88% |
11053
886.4 IPS |
|
|
Face Detection (SP)
|
100% |
31531
374.7 IPS |
|
|
Face Detection (HP)
|
100% |
46208
549.1 IPS |
|
|
Face Detection (Q)
|
97% |
25785
307.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
57751
444.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104730
806.9 IPS |
|
|
Depth Estimation (Q)
|
70% |
43892
367.4 IPS |
|
|
Style Transfer (SP)
|
100% |
261427
336.1 IPS |
|
|
Style Transfer (HP)
|
100% |
581320
747.3 IPS |
|
|
Style Transfer (Q)
|
98% |
232110
299.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45847
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55999
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32560
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3502
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4308
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2178
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4968
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5022
86.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1951
43.5 IPS |
