ASUS System Product Name
Geekbench AI Score
32929
Single Precision Score
35965
Half Precision Score
24566
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 13 2025 05:56 AM |
| Views | 8 |
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% |
13139
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
13066
2.43 KIPS |
|
|
Image Classification (Q)
|
99% |
10699
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24140
391.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18974
307.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19120
310.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
215037
250.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
329566
384.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
179923
210.8 IPS |
|
|
Object Detection (SP)
|
100% |
14954
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
15293
1.21 KIPS |
|
|
Object Detection (Q)
|
87% |
12400
995.9 IPS |
|
|
Face Detection (SP)
|
100% |
44690
531.0 IPS |
|
|
Face Detection (HP)
|
100% |
47850
568.6 IPS |
|
|
Face Detection (Q)
|
97% |
35205
419.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
75808
584.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
82050
632.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
56516
453.8 IPS |
|
|
Style Transfer (SP)
|
100% |
382297
491.4 IPS |
|
|
Style Transfer (HP)
|
100% |
510432
656.2 IPS |
|
|
Style Transfer (Q)
|
98% |
302185
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43738
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51085
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31591
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2534
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6939
119.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7225
124.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3645
68.4 IPS |
