Micro-Star International Co., Ltd. MS-7B92
Geekbench AI Score
22091
Single Precision Score
30264
Half Precision Score
14185
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:01 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% |
8689
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
11293
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
6136
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12538
203.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15439
250.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9631
156.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
188043
219.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
336823
393.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
140265
164.3 IPS |
|
|
Object Detection (SP)
|
100% |
10796
856.3 IPS |
|
|
Object Detection (HP)
|
100% |
14315
1.14 KIPS |
|
|
Object Detection (Q)
|
85% |
7752
623.6 IPS |
|
|
Face Detection (SP)
|
100% |
24653
292.9 IPS |
|
|
Face Detection (HP)
|
100% |
30745
365.3 IPS |
|
|
Face Detection (Q)
|
97% |
17989
214.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
61687
475.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99646
767.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
36700
293.9 IPS |
|
|
Style Transfer (SP)
|
100% |
283004
363.8 IPS |
|
|
Style Transfer (HP)
|
100% |
582168
748.4 IPS |
|
|
Style Transfer (Q)
|
98% |
201562
259.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36154
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46781
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20868
772.7 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
2826
3.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1351
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1369
25.7 IPS |
