ASUS System Product Name
Geekbench AI Score
31037
Single Precision Score
33836
Half Precision Score
23113
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | August 06 2025 04:12 AM |
| Views | 5 |
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% |
12569
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
12897
2.40 KIPS |
|
|
Image Classification (Q)
|
99% |
10081
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22529
365.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18046
292.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18103
294.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
198695
231.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
310722
362.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
161258
188.9 IPS |
|
|
Object Detection (SP)
|
100% |
13397
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
15012
1.19 KIPS |
|
|
Object Detection (Q)
|
87% |
11361
912.4 IPS |
|
|
Face Detection (SP)
|
100% |
41127
488.7 IPS |
|
|
Face Detection (HP)
|
100% |
44492
528.7 IPS |
|
|
Face Detection (Q)
|
97% |
32031
381.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
71446
550.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75904
584.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
51767
415.7 IPS |
|
|
Style Transfer (SP)
|
100% |
363389
467.1 IPS |
|
|
Style Transfer (HP)
|
100% |
480549
617.8 IPS |
|
|
Style Transfer (Q)
|
98% |
293714
378.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39917
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50213
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30723
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3294
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2601
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6352
109.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6750
116.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3345
62.7 IPS |
