Micro-Star International Co., Ltd. MS-7C34
Geekbench AI Score
22062
Single Precision Score
33846
Half Precision Score
13326
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tlywly |
| Upload Date | August 17 2024 07:48 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C34 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 GODLIKE (MS-7C34) |
| 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% |
8981
1.67 KIPS |
|
|
Image Classification (HP)
|
99% |
12667
2.36 KIPS |
|
|
Image Classification (Q)
|
100% |
5802
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14861
240.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20500
332.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11059
179.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
132567
154.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
378506
441.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
105239
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
10919
866.1 IPS |
|
|
Object Detection (HP)
|
100% |
15674
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
7493
599.8 IPS |
|
|
Face Detection (SP)
|
100% |
27484
326.6 IPS |
|
|
Face Detection (HP)
|
100% |
38645
459.2 IPS |
|
|
Face Detection (Q)
|
97% |
18326
218.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
53703
413.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
97528
751.4 IPS |
|
|
Depth Estimation (Q)
|
69% |
31187
264.2 IPS |
|
|
Style Transfer (SP)
|
100% |
243065
312.5 IPS |
|
|
Style Transfer (HP)
|
100% |
576772
741.4 IPS |
|
|
Style Transfer (Q)
|
98% |
176008
227.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35694
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43762
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19686
729.0 IPS |
|
|
Text Classification (SP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (HP)
|
99% |
3561
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1413
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3781
65.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1248
27.8 IPS |
