Microsoft Corporation Virtual Machine
Geekbench AI Score
2248
Single Precision Score
2304
Half Precision Score
3017
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sure |
| Upload Date | April 11 2025 10:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Gold 6138 CPU @ 2.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | Microsoft Corporation Virtual Machine |
| Motherboard | Microsoft Corporation Virtual Machine |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6138 |
| Topology | 1 Processor, 3 Cores, 6 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
1517
282.2 IPS |
|
|
Image Classification (Q)
|
100% |
1984
369.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1964
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3063
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3096
3.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
4494
5.27 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (Q)
|
87% |
1976
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
2800
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
2083
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
4203
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3753
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3653
28.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
4745
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8257
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8835
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
12089
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1778
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2656
98.4 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1405
1.88 KIPS |
|
|
Text Classification (Q)
|
91% |
1200
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2225
38.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2353
40.5 IPS |
