ASUS All Series
Geekbench AI Score
2706
Single Precision Score
961
Half Precision Score
2441
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 10:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2683 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. RAMPAGE V EDITION 10 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2683 v3 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1641
305.2 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.1 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
1214
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3913
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
5125
5.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
7247
8.57 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (Q)
|
58% |
1819
198.7 IPS |
|
|
Face Detection (SP)
|
100% |
5511
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
4644
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7650
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1256
9.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
6270
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14316
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11457
14.7 IPS |
|
|
Style Transfer (Q)
|
87% |
10625
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1679
62.2 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
390
520.8 IPS |
|
|
Text Classification (Q)
|
97% |
280
375.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
68% |
1390
26.8 IPS |
