Micro-Star International Co., Ltd. MS-7D13
Geekbench AI Score
13439
Single Precision Score
23034
Half Precision Score
9362
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 03:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D13 |
| Motherboard | Micro-Star International Co., Ltd. MEG B550 UNIFY (MS-7D13) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5752
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
9592
1.78 KIPS |
|
|
Image Classification (Q)
|
99% |
4370
815.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9812
159.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13494
218.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7839
127.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
58988
68.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
202647
236.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
51250
60.0 IPS |
|
|
Object Detection (SP)
|
100% |
6670
529.1 IPS |
|
|
Object Detection (HP)
|
100% |
11664
925.2 IPS |
|
|
Object Detection (Q)
|
84% |
5164
416.5 IPS |
|
|
Face Detection (SP)
|
100% |
17206
204.4 IPS |
|
|
Face Detection (HP)
|
100% |
26899
319.6 IPS |
|
|
Face Detection (Q)
|
97% |
13776
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33689
259.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
62032
477.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
23158
185.3 IPS |
|
|
Style Transfer (SP)
|
100% |
109156
140.3 IPS |
|
|
Style Transfer (HP)
|
100% |
257282
330.7 IPS |
|
|
Style Transfer (Q)
|
98% |
91371
117.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19544
721.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31786
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11967
443.1 IPS |
|
|
Text Classification (SP)
|
100% |
1939
2.59 KIPS |
|
|
Text Classification (HP)
|
99% |
2776
3.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1148
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1426
26.7 IPS |
