DMSNTNG-PVE QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
645
Single Precision Score
668
Half Precision Score
880
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | devildogtg |
| Upload Date | December 13 2024 10:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2650 v2 |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (HP)
|
100% |
346
64.3 IPS |
|
|
Image Classification (Q)
|
100% |
338
62.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
774
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
822
0.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
2099
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.5 IPS |
|
|
Object Detection (Q)
|
87% |
545
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
1107
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1477
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
2496
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1361
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1334
10.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
1548
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2116
2.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2319
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
5190
6.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1132
41.9 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.8 IPS |
|
|
Text Classification (HP)
|
100% |
281
375.4 IPS |
|
|
Text Classification (Q)
|
91% |
82
109.8 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (HP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (Q)
|
100% |
502
8.64 IPS |
