Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
16736
Single Precision Score
26522
Half Precision Score
10361
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 07:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7074
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
10399
1.94 KIPS |
|
|
Image Classification (Q)
|
100% |
4973
924.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11270
182.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16287
264.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8790
142.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
102226
119.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
206565
241.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
83917
98.3 IPS |
|
|
Object Detection (SP)
|
100% |
9088
720.9 IPS |
|
|
Object Detection (HP)
|
100% |
13383
1.06 KIPS |
|
|
Object Detection (Q)
|
88% |
2608
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
18857
224.1 IPS |
|
|
Face Detection (HP)
|
100% |
28730
341.4 IPS |
|
|
Face Detection (Q)
|
97% |
13889
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
43257
333.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
81016
624.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
27255
219.6 IPS |
|
|
Style Transfer (SP)
|
100% |
110323
141.8 IPS |
|
|
Style Transfer (HP)
|
100% |
375416
482.6 IPS |
|
|
Style Transfer (Q)
|
98% |
135691
175.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30289
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40299
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17420
645.0 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
3182
4.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1377
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3283
56.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1210
27.0 IPS |
