ASUS System Product Name
Geekbench AI Score
19313
Single Precision Score
43240
Half Precision Score
50268
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | September 03 2025 09:57 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro B50 Graphics (dGPU) |
| 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% |
11622
2.16 KIPS |
|
|
Image Classification (HP)
|
100% |
27574
5.13 KIPS |
|
|
Image Classification (Q)
|
100% |
27068
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20100
325.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
40869
662.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
46876
759.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
48049
56.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
248532
290.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
507523
594.2 IPS |
|
|
Object Detection (SP)
|
100% |
9518
755.0 IPS |
|
|
Object Detection (HP)
|
100% |
26032
2.06 KIPS |
|
|
Object Detection (Q)
|
88% |
30130
2.41 KIPS |
|
|
Face Detection (SP)
|
100% |
25242
299.9 IPS |
|
|
Face Detection (HP)
|
100% |
55439
658.7 IPS |
|
|
Face Detection (Q)
|
100% |
70802
841.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
44896
345.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
107974
831.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
134516
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
124543
160.1 IPS |
|
|
Style Transfer (HP)
|
100% |
383082
492.5 IPS |
|
|
Style Transfer (Q)
|
98% |
476256
614.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21894
808.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47996
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60747
2.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4810
6.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4473
5.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2956
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6366
109.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6519
112.3 IPS |
