Microsoft Corporation Virtual Machine
Geekbench AI Score
4320
Single Precision Score
7026
Half Precision Score
3389
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sure |
| Upload Date | April 10 2025 10:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA A2 |
| 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% |
1832
340.7 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (Q)
|
99% |
1617
301.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2620
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3159
51.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2418
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14116
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
79183
92.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13176
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
2952
234.2 IPS |
|
|
Object Detection (Q)
|
83% |
2015
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
4912
58.4 IPS |
|
|
Face Detection (Q)
|
97% |
4028
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9478
73.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16073
123.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7830
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26749
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
82933
106.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24227
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13581
501.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4703
174.1 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1388
1.85 KIPS |
|
|
Text Classification (Q)
|
97% |
664
889.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1460
25.2 IPS |
|
|
Machine Translation (Q)
|
70% |
807
15.1 IPS |
