Supermicro Super Server
Geekbench AI Score
4485
Single Precision Score
4463
Half Precision Score
4976
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Gothic_Day |
| Upload Date | December 09 2024 07:55 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux trixie/sid |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X10DRD-i |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 47.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3148
585.4 IPS |
|
|
Image Classification (HP)
|
100% |
3116
579.5 IPS |
|
|
Image Classification (Q)
|
100% |
3165
588.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3557
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3563
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3719
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6873
8.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
8516
9.99 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
2280
180.9 IPS |
|
|
Object Detection (Q)
|
87% |
3123
250.5 IPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4364
51.9 IPS |
|
|
Face Detection (Q)
|
97% |
9316
111.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6753
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6799
52.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
9437
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21498
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20992
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25011
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4409
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4432
163.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4886
181.0 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2044
2.73 KIPS |
|
|
Text Classification (Q)
|
91% |
873
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3194
55.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3176
54.7 IPS |
