Micro-Star International Co., Ltd. MS-7B92
Geekbench AI Score
14358
Single Precision Score
18757
Half Precision Score
10382
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:11 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% |
4499
836.6 IPS |
|
|
Image Classification (HP)
|
99% |
5020
936.4 IPS |
|
|
Image Classification (Q)
|
100% |
3696
687.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10253
166.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11598
188.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7869
128.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
158218
184.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
248387
289.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
122660
143.7 IPS |
|
|
Object Detection (SP)
|
100% |
6506
516.0 IPS |
|
|
Object Detection (HP)
|
100% |
7256
575.6 IPS |
|
|
Object Detection (Q)
|
85% |
4965
399.4 IPS |
|
|
Face Detection (SP)
|
100% |
16603
197.3 IPS |
|
|
Face Detection (HP)
|
100% |
18596
221.0 IPS |
|
|
Face Detection (Q)
|
97% |
13354
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
44604
343.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
65803
507.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
30743
246.2 IPS |
|
|
Style Transfer (SP)
|
100% |
231966
298.2 IPS |
|
|
Style Transfer (HP)
|
100% |
391932
503.8 IPS |
|
|
Style Transfer (Q)
|
98% |
170403
219.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21986
811.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25425
938.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15625
578.6 IPS |
|
|
Text Classification (SP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
1731
2.31 KIPS |
|
|
Text Classification (Q)
|
97% |
635
850.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2434
41.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1184
22.2 IPS |
