ASUS System Product Name
Geekbench AI Score
32580
Single Precision Score
35938
Half Precision Score
24232
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 17 2025 05:06 PM |
| 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% |
13636
2.54 KIPS |
|
|
Image Classification (HP)
|
100% |
13443
2.50 KIPS |
|
|
Image Classification (Q)
|
99% |
10796
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23333
378.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18655
302.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19056
309.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
205817
240.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
313027
365.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
170549
199.8 IPS |
|
|
Object Detection (SP)
|
100% |
15074
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
15493
1.23 KIPS |
|
|
Object Detection (Q)
|
87% |
12436
998.8 IPS |
|
|
Face Detection (SP)
|
100% |
44583
529.7 IPS |
|
|
Face Detection (HP)
|
100% |
47990
570.2 IPS |
|
|
Face Detection (Q)
|
97% |
34822
415.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
74915
577.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
81857
630.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
55652
446.9 IPS |
|
|
Style Transfer (SP)
|
100% |
361444
464.6 IPS |
|
|
Style Transfer (HP)
|
100% |
508966
654.3 IPS |
|
|
Style Transfer (Q)
|
98% |
293193
378.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43862
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52048
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31813
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4087
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4329
5.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2581
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6309
108.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6560
113.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3430
64.3 IPS |
