Micro-Star International Co., Ltd. MS-7D08
Geekbench AI Score
10571
Single Precision Score
17088
Half Precision Score
7706
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 07:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D08 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z590 TORPEDO (MS-7D08) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4688
871.8 IPS |
|
|
Image Classification (HP)
|
100% |
7287
1.36 KIPS |
|
|
Image Classification (Q)
|
99% |
3724
694.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5881
95.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7400
120.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5018
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
58278
68.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
179418
209.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
48734
57.1 IPS |
|
|
Object Detection (SP)
|
100% |
5173
410.4 IPS |
|
|
Object Detection (HP)
|
100% |
7821
620.4 IPS |
|
|
Object Detection (Q)
|
84% |
4153
335.0 IPS |
|
|
Face Detection (SP)
|
100% |
11597
137.8 IPS |
|
|
Face Detection (HP)
|
100% |
16828
200.0 IPS |
|
|
Face Detection (Q)
|
97% |
9719
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
29661
228.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
52376
403.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
20828
166.7 IPS |
|
|
Style Transfer (SP)
|
100% |
103261
132.7 IPS |
|
|
Style Transfer (HP)
|
100% |
224622
288.8 IPS |
|
|
Style Transfer (Q)
|
98% |
83401
107.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16266
600.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26401
974.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10495
388.6 IPS |
|
|
Text Classification (SP)
|
100% |
1814
2.42 KIPS |
|
|
Text Classification (HP)
|
99% |
2693
3.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1068
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1994
34.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1033
19.4 IPS |
