VMware, Inc. VMware7,1
Geekbench AI Score
540
Single Precision Score
527
Half Precision Score
758
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 06 2025 01:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2620 v2 @ 2.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | VMware, Inc. VMware7,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 v2 |
| Topology | 2 Processors, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.7 IPS |
|
|
Image Classification (Q)
|
100% |
542
100.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
485
7.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
566
9.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
630
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
561
0.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
1357
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
87% |
543
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
972
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
837
9.94 IPS |
|
|
Face Detection (Q)
|
97% |
1327
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
982
7.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
966
7.44 IPS |
|
|
Depth Estimation (Q)
|
81% |
1504
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1725
2.22 IPS |
|
|
Style Transfer (HP)
|
100% |
1732
2.23 IPS |
|
|
Style Transfer (Q)
|
98% |
4018
5.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
763
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
406
541.9 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.1 IPS |
|
|
Text Classification (Q)
|
91% |
154
206.6 IPS |
|
|
Machine Translation (SP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.09 IPS |
|
|
Machine Translation (Q)
|
100% |
296
5.10 IPS |
