ASUS System Product Name
Geekbench AI Score
18088
Single Precision Score
8752
Half Precision Score
31129
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 18 2024 08:08 AM |
| Views | 60 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) w9-3495X |
| 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 |
| 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% |
9783
1.82 KIPS |
|
|
Image Classification (HP)
|
100% |
6445
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
12599
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11963
193.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
17029
276.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
59746
69.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
43001
50.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
326744
382.6 IPS |
|
|
Object Detection (SP)
|
100% |
9941
788.5 IPS |
|
|
Object Detection (HP)
|
100% |
7491
594.2 IPS |
|
|
Object Detection (Q)
|
88% |
13964
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
30460
361.9 IPS |
|
|
Face Detection (HP)
|
100% |
19167
227.8 IPS |
|
|
Face Detection (Q)
|
100% |
43764
520.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41072
316.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27509
211.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
62593
487.3 IPS |
|
|
Style Transfer (SP)
|
100% |
192413
247.4 IPS |
|
|
Style Transfer (HP)
|
100% |
108441
139.4 IPS |
|
|
Style Transfer (Q)
|
98% |
782795
1.01 KIPS |
|
|
Image Super-Resolution (SP)
|
100% |
21652
799.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17462
644.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33432
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
2890
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3980
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4213
72.6 IPS |
