ASUS System Product Name
Geekbench AI Score
33154
Single Precision Score
36019
Half Precision Score
24579
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | August 02 2025 05:02 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% |
13891
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
12992
2.42 KIPS |
|
|
Image Classification (Q)
|
99% |
10963
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23466
380.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18760
304.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19219
312.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
207490
242.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
315690
368.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
170205
199.4 IPS |
|
|
Object Detection (SP)
|
100% |
15594
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
15660
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
12758
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
45229
537.4 IPS |
|
|
Face Detection (HP)
|
100% |
47865
568.7 IPS |
|
|
Face Detection (Q)
|
97% |
34993
417.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
76868
592.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82843
638.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
57165
459.0 IPS |
|
|
Style Transfer (SP)
|
100% |
366122
470.7 IPS |
|
|
Style Transfer (HP)
|
100% |
502921
646.5 IPS |
|
|
Style Transfer (Q)
|
98% |
290546
374.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44190
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51382
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31916
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4256
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4515
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2758
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
6356
109.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6594
113.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3438
64.5 IPS |
