Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
13801
Single Precision Score
22522
Half Precision Score
9628
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | January 04 2025 06:00 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5638
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
9328
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
4210
785.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9446
153.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12692
205.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7693
125.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
73032
85.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
207398
242.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61146
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
6798
539.2 IPS |
|
|
Object Detection (HP)
|
100% |
10744
852.2 IPS |
|
|
Object Detection (Q)
|
84% |
5265
424.7 IPS |
|
|
Face Detection (SP)
|
100% |
17255
205.0 IPS |
|
|
Face Detection (HP)
|
100% |
26854
319.1 IPS |
|
|
Face Detection (Q)
|
97% |
13736
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
34921
269.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
62538
481.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
24052
192.6 IPS |
|
|
Style Transfer (SP)
|
100% |
118252
152.0 IPS |
|
|
Style Transfer (HP)
|
100% |
271138
348.6 IPS |
|
|
Style Transfer (Q)
|
98% |
97562
125.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23655
873.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33248
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14156
524.2 IPS |
|
|
Text Classification (SP)
|
100% |
1734
2.31 KIPS |
|
|
Text Classification (HP)
|
99% |
2579
3.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3246
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1370
25.7 IPS |
