ASUS System Product Name
Geekbench AI Score
20098
Single Precision Score
15636
Half Precision Score
37515
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 07:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) w9-3495X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Standard (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W790E-SAGE SE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon w9-3495X |
| Topology | 1 Processor, 56 Cores |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 6 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 56 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9847
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
9990
1.86 KIPS |
|
|
Image Classification (Q)
|
100% |
14419
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20629
334.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11686
189.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
44421
720.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
60068
70.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
39448
46.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
348259
407.8 IPS |
|
|
Object Detection (SP)
|
100% |
10550
836.8 IPS |
|
|
Object Detection (HP)
|
100% |
11704
928.4 IPS |
|
|
Object Detection (Q)
|
88% |
16987
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
36982
439.4 IPS |
|
|
Face Detection (HP)
|
100% |
31280
371.7 IPS |
|
|
Face Detection (Q)
|
100% |
52939
629.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
40117
309.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34711
267.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
66222
515.4 IPS |
|
|
Style Transfer (SP)
|
100% |
182185
234.2 IPS |
|
|
Style Transfer (HP)
|
100% |
100527
129.2 IPS |
|
|
Style Transfer (Q)
|
98% |
826459
1.07 KIPS |
|
|
Image Super-Resolution (SP)
|
100% |
21054
777.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16537
610.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32088
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2669
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
2626
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5502
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5439
93.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5969
102.8 IPS |
