ASUS System Product Name
Geekbench AI Score
9061
Single Precision Score
2547
Half Precision Score
10199
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | O-EtaIXVII |
| Upload Date | December 22 2024 08:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon w7-2495X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W790E-SAGE SE |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon w7-2495X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6923
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
669
124.4 IPS |
|
|
Image Classification (Q)
|
99% |
10860
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4304
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
35451
41.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16011
18.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
93935
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
7291
578.3 IPS |
|
|
Object Detection (HP)
|
100% |
924
73.3 IPS |
|
|
Object Detection (Q)
|
86% |
10762
864.9 IPS |
|
|
Face Detection (SP)
|
100% |
17384
206.6 IPS |
|
|
Face Detection (HP)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
13499
160.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23723
182.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3184
24.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
31340
250.1 IPS |
|
|
Style Transfer (SP)
|
100% |
60290
77.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33064
42.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44135
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6896
254.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4665
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6490
240.3 IPS |
|
|
Text Classification (SP)
|
100% |
1765
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
614
822.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3464
69.6 IPS |
