ASUS System Product Name
Geekbench AI Score
33655
Single Precision Score
37183
Half Precision Score
24998
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 18 2025 03:58 AM |
| Views | 11 |
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% |
14013
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
13824
2.57 KIPS |
|
|
Image Classification (Q)
|
99% |
11179
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23938
388.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19016
308.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
19473
316.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
206619
241.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
318819
372.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
171282
200.7 IPS |
|
|
Object Detection (SP)
|
100% |
15437
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
16031
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
12751
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
45800
544.2 IPS |
|
|
Face Detection (HP)
|
100% |
48910
581.2 IPS |
|
|
Face Detection (Q)
|
97% |
35494
423.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
76878
592.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
83284
641.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
57360
460.6 IPS |
|
|
Style Transfer (SP)
|
100% |
364048
468.0 IPS |
|
|
Style Transfer (HP)
|
100% |
516440
663.9 IPS |
|
|
Style Transfer (Q)
|
98% |
295258
380.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45232
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54255
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32459
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4608
6.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4881
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2950
3.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
6522
112.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6751
116.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3483
65.3 IPS |
