Micro-Star International Co., Ltd. MS-7B92
Geekbench AI Score
21094
Single Precision Score
28221
Half Precision Score
13841
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B92 |
| Motherboard | Micro-Star International Co., Ltd. MEG X399 CREATION (MS-7B92) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 2950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7874
1.46 KIPS |
|
|
Image Classification (HP)
|
99% |
9792
1.83 KIPS |
|
|
Image Classification (Q)
|
100% |
5647
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12103
196.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14821
240.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9451
153.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
185616
216.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
321940
375.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
137202
160.8 IPS |
|
|
Object Detection (SP)
|
100% |
9889
784.4 IPS |
|
|
Object Detection (HP)
|
100% |
12487
990.5 IPS |
|
|
Object Detection (Q)
|
85% |
7105
571.5 IPS |
|
|
Face Detection (SP)
|
100% |
23564
280.0 IPS |
|
|
Face Detection (HP)
|
100% |
29073
345.5 IPS |
|
|
Face Detection (Q)
|
97% |
17245
205.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
58840
453.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94214
725.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
36482
292.2 IPS |
|
|
Style Transfer (SP)
|
100% |
278119
357.5 IPS |
|
|
Style Transfer (HP)
|
100% |
543696
698.9 IPS |
|
|
Style Transfer (Q)
|
98% |
201558
259.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35190
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44332
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20978
776.8 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
2687
3.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1350
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1382
25.9 IPS |
