ASUS System Product Name
Geekbench AI Score
32696
Single Precision Score
36064
Half Precision Score
24426
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | August 02 2025 04:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13526
2.52 KIPS |
|
|
Image Classification (HP)
|
100% |
13219
2.46 KIPS |
|
|
Image Classification (Q)
|
99% |
10772
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23560
381.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18776
304.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19174
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
203167
237.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
310118
361.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
170518
199.8 IPS |
|
|
Object Detection (SP)
|
100% |
15335
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
15675
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
12523
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
44492
528.7 IPS |
|
|
Face Detection (HP)
|
100% |
47959
569.9 IPS |
|
|
Face Detection (Q)
|
97% |
34465
410.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
75514
581.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
81734
629.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
55952
449.3 IPS |
|
|
Style Transfer (SP)
|
100% |
362047
465.4 IPS |
|
|
Style Transfer (HP)
|
100% |
507389
652.3 IPS |
|
|
Style Transfer (Q)
|
98% |
293699
378.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44038
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51685
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31991
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4100
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4542
6.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2753
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
6403
110.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6607
113.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3437
64.5 IPS |
