GIGABYTE MD71-HB0-00
Geekbench AI Score
16277
Single Precision Score
19355
Half Precision Score
10175
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 20 2025 05:30 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro GV100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | GIGABYTE MD71-HB0-00 |
| Motherboard | GIGABYTE MD71-HB0-00 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon Platinum 8124M |
| Topology | 2 Processors, 36 Cores, 72 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6259
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6954
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
4373
813.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8755
141.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11158
180.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6517
106.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
132676
154.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
203917
237.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
90703
106.3 IPS |
|
|
Object Detection (SP)
|
100% |
8053
638.7 IPS |
|
|
Object Detection (HP)
|
100% |
8933
708.6 IPS |
|
|
Object Detection (Q)
|
85% |
5575
448.8 IPS |
|
|
Face Detection (SP)
|
100% |
18895
224.5 IPS |
|
|
Face Detection (HP)
|
100% |
23839
283.3 IPS |
|
|
Face Detection (Q)
|
97% |
12960
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
47461
365.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46722
361.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
26853
214.7 IPS |
|
|
Style Transfer (SP)
|
100% |
195127
250.8 IPS |
|
|
Style Transfer (HP)
|
100% |
266065
342.0 IPS |
|
|
Style Transfer (Q)
|
98% |
130533
168.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30684
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30875
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15943
590.4 IPS |
|
|
Text Classification (SP)
|
100% |
1659
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1008
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2417
41.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1131
21.2 IPS |
