SZMZ X99-S3
Geekbench AI Score
3225
Single Precision Score
1034
Half Precision Score
2597
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 03:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SZMZ X99-S3 |
| Motherboard | SZMZ X99-S3 |
| Power Plan | QuickCpuScheme |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2844
528.9 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.3 IPS |
|
|
Image Classification (Q)
|
96% |
2839
530.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
1379
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7244
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5359
6.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
7599
8.98 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (Q)
|
58% |
1927
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
5166
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
983
11.7 IPS |
|
|
Face Detection (Q)
|
96% |
4897
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7846
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1318
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6650
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15199
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11997
15.4 IPS |
|
|
Style Transfer (Q)
|
87% |
10655
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2194
81.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1671
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1768
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
414
552.0 IPS |
|
|
Text Classification (Q)
|
97% |
271
363.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
68% |
1466
28.3 IPS |
