ASUS System Product Name
Geekbench AI Score
32974
Single Precision Score
46941
Half Precision Score
25655
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Tuxpan |
| Upload Date | March 01 2025 11:45 PM |
| Views | 15 |
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. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12509
2.33 KIPS |
|
|
Image Classification (HP)
|
99% |
17231
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
10883
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20869
338.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26146
423.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19329
314.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
246875
288.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
471956
550.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
221520
259.5 IPS |
|
|
Object Detection (SP)
|
100% |
16410
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
22656
1.80 KIPS |
|
|
Object Detection (Q)
|
85% |
14130
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
46163
548.5 IPS |
|
|
Face Detection (HP)
|
100% |
59859
711.3 IPS |
|
|
Face Detection (Q)
|
97% |
39423
470.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
81495
627.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
139703
1.08 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62723
500.9 IPS |
|
|
Style Transfer (SP)
|
100% |
381136
490.0 IPS |
|
|
Style Transfer (HP)
|
100% |
852100
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
335122
432.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52970
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71798
2.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40407
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3537
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2161
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5349
92.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5291
91.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2593
48.6 IPS |
