ASUS System Product Name
Geekbench AI Score
49571
Single Precision Score
74649
Half Precision Score
36647
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | nikothomas |
| Upload Date | July 05 2025 11:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17862
3.32 KIPS |
|
|
Image Classification (HP)
|
100% |
24064
4.48 KIPS |
|
|
Image Classification (Q)
|
100% |
15696
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32603
528.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
40274
652.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
30210
491.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
408126
476.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
985806
1.15 KIPS |
|
|
Pose Estimation (Q)
|
96% |
334193
391.5 IPS |
|
|
Object Detection (SP)
|
100% |
25114
1.99 KIPS |
|
|
Object Detection (HP)
|
100% |
32590
2.59 KIPS |
|
|
Object Detection (Q)
|
84% |
20924
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
79541
945.1 IPS |
|
|
Face Detection (HP)
|
100% |
108224
1.29 KIPS |
|
|
Face Detection (Q)
|
97% |
65752
784.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
119753
922.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
192366
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
86190
690.3 IPS |
|
|
Style Transfer (SP)
|
100% |
631135
811.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1934157
2.49 KIPS |
|
|
Style Transfer (Q)
|
98% |
568124
732.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76655
2.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104378
3.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55228
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5172
6.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2281
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
7748
133.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7939
136.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3249
60.9 IPS |
