Supermicro SYS-428GR-TRT05-NC24B
Geekbench AI Score
5489
Single Precision Score
5491
Half Precision Score
4566
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 12:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2697A v4 @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Datacenter (64-bit) |
| Model | Supermicro SYS-428GR-TRT05-NC24B |
| Motherboard | Supermicro X10DRG-OT+-CPU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697A v4 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3356
624.2 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.1 IPS |
|
|
Image Classification (Q)
|
100% |
3232
601.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4545
73.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4499
72.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4769
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8275
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
8383
9.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
10055
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
3246
257.5 IPS |
|
|
Object Detection (HP)
|
100% |
3171
251.5 IPS |
|
|
Object Detection (Q)
|
87% |
3102
248.8 IPS |
|
|
Face Detection (SP)
|
100% |
8642
102.7 IPS |
|
|
Face Detection (HP)
|
100% |
8631
102.6 IPS |
|
|
Face Detection (Q)
|
97% |
10561
125.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9246
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9251
71.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
10868
85.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25745
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26096
33.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29027
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5180
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5179
191.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5612
207.9 IPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (Q)
|
91% |
183
245.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2365
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2367
40.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2397
41.3 IPS |
