ASUS System Product Name
Geekbench AI Score
34538
Single Precision Score
38042
Half Precision Score
25290
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 24 2025 04:42 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 Insider Preview (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% |
14194
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
14015
2.61 KIPS |
|
|
Image Classification (Q)
|
99% |
11286
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25516
413.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19775
320.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20269
329.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
205716
240.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
316819
369.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
170420
199.7 IPS |
|
|
Object Detection (SP)
|
100% |
15880
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
16386
1.30 KIPS |
|
|
Object Detection (Q)
|
87% |
12947
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
46059
547.3 IPS |
|
|
Face Detection (HP)
|
100% |
49670
590.2 IPS |
|
|
Face Detection (Q)
|
97% |
35414
422.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
77201
594.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
83545
643.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
56747
455.7 IPS |
|
|
Style Transfer (SP)
|
100% |
368957
474.3 IPS |
|
|
Style Transfer (HP)
|
100% |
521244
670.1 IPS |
|
|
Style Transfer (Q)
|
98% |
295286
380.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45347
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53712
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32836
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4568
6.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4877
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2920
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
7512
129.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7788
134.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3728
69.9 IPS |
