Micro-Star International Co., Ltd. MS-7B92
Geekbench AI Score
21189
Single Precision Score
28518
Half Precision Score
13719
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:06 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% |
8115
1.51 KIPS |
|
|
Image Classification (HP)
|
99% |
10050
1.87 KIPS |
|
|
Image Classification (Q)
|
100% |
5643
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12162
197.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15346
248.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9457
153.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
183847
214.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
324636
378.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
139215
163.1 IPS |
|
|
Object Detection (SP)
|
100% |
10338
820.1 IPS |
|
|
Object Detection (HP)
|
100% |
13382
1.06 KIPS |
|
|
Object Detection (Q)
|
85% |
7317
588.6 IPS |
|
|
Face Detection (SP)
|
100% |
23756
282.3 IPS |
|
|
Face Detection (HP)
|
100% |
29406
349.4 IPS |
|
|
Face Detection (Q)
|
97% |
17497
208.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
60527
466.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98149
756.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
36188
289.8 IPS |
|
|
Style Transfer (SP)
|
100% |
278304
357.8 IPS |
|
|
Style Transfer (HP)
|
100% |
558402
717.8 IPS |
|
|
Style Transfer (Q)
|
98% |
198548
256.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35258
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42526
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20313
752.2 IPS |
|
|
Text Classification (SP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2478
3.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1359
25.5 IPS |
