ASUS System Product Name
Geekbench AI Score
33288
Single Precision Score
46220
Half Precision Score
25712
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | September 03 2025 10:03 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 6000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W790E-SAGE SE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon w9-3495X |
| Topology | 1 Processor, 56 Cores, 112 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13046
2.43 KIPS |
|
|
Image Classification (HP)
|
99% |
16821
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
11170
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22815
369.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27071
438.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20829
338.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
259530
302.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
613195
715.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
223473
261.8 IPS |
|
|
Object Detection (SP)
|
100% |
16934
1.34 KIPS |
|
|
Object Detection (HP)
|
100% |
21278
1.69 KIPS |
|
|
Object Detection (Q)
|
86% |
14437
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
44525
529.0 IPS |
|
|
Face Detection (HP)
|
100% |
61387
729.4 IPS |
|
|
Face Detection (Q)
|
97% |
38896
463.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
78640
605.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
142092
1.10 KIPS |
|
|
Depth Estimation (Q)
|
77% |
58618
469.3 IPS |
|
|
Style Transfer (SP)
|
100% |
482098
619.7 IPS |
|
|
Style Transfer (HP)
|
100% |
989731
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
424571
547.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53608
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72852
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40672
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1743
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5245
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5078
87.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2452
46.0 IPS |
