ASUS System Product Name
Geekbench AI Score
35462
Single Precision Score
39625
Half Precision Score
28069
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 10:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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% |
14864
2.76 KIPS |
|
|
Image Classification (HP)
|
100% |
16255
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
12653
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22859
370.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20039
324.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20903
339.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
287108
335.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
395253
461.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
254988
298.8 IPS |
|
|
Object Detection (SP)
|
100% |
17550
1.39 KIPS |
|
|
Object Detection (HP)
|
99% |
18952
1.50 KIPS |
|
|
Object Detection (Q)
|
89% |
15910
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
44843
532.8 IPS |
|
|
Face Detection (HP)
|
100% |
49024
582.5 IPS |
|
|
Face Detection (Q)
|
97% |
38280
456.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
75424
581.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
91004
701.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
64595
529.3 IPS |
|
|
Style Transfer (SP)
|
100% |
458253
589.1 IPS |
|
|
Style Transfer (HP)
|
100% |
633458
814.3 IPS |
|
|
Style Transfer (Q)
|
98% |
402728
519.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54095
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62492
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41706
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4559
6.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4455
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2897
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4807
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4971
85.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2352
52.5 IPS |
