Micro-Star International Co., Ltd MS-7C02
Geekbench AI Score
13495
Single Precision Score
23177
Half Precision Score
9412
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 01:04 AM |
| Views | 1 |
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-7C02 |
| Motherboard | Micro-Star International Co., Ltd B450 TOMAHAWK MAX (MS-7C02) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5569
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
9481
1.76 KIPS |
|
|
Image Classification (Q)
|
99% |
4365
814.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10039
162.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14115
228.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7865
127.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
59721
69.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
205006
239.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
51038
59.8 IPS |
|
|
Object Detection (SP)
|
100% |
6854
543.7 IPS |
|
|
Object Detection (HP)
|
100% |
11705
928.4 IPS |
|
|
Object Detection (Q)
|
84% |
5239
422.5 IPS |
|
|
Face Detection (SP)
|
100% |
17220
204.6 IPS |
|
|
Face Detection (HP)
|
100% |
27258
323.9 IPS |
|
|
Face Detection (Q)
|
97% |
13796
164.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
34142
263.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
62971
485.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
23581
188.7 IPS |
|
|
Style Transfer (SP)
|
100% |
109724
141.1 IPS |
|
|
Style Transfer (HP)
|
100% |
261653
336.4 IPS |
|
|
Style Transfer (Q)
|
98% |
92409
119.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19539
721.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31548
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12080
447.3 IPS |
|
|
Text Classification (SP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (HP)
|
99% |
2652
3.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1125
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1456
27.3 IPS |
