Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
12775
Single Precision Score
12826
Half Precision Score
29176
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | caywoodd |
| Upload Date | October 08 2024 04:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7190
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
6988
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
15018
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7895
128.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7711
125.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18386
298.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23888
27.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
24189
28.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
94478
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
8258
655.1 IPS |
|
|
Object Detection (HP)
|
100% |
8154
646.8 IPS |
|
|
Object Detection (Q)
|
88% |
17994
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
17229
204.7 IPS |
|
|
Face Detection (HP)
|
100% |
18297
217.4 IPS |
|
|
Face Detection (Q)
|
100% |
50340
598.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21487
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21738
167.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
58690
456.7 IPS |
|
|
Style Transfer (SP)
|
100% |
64088
82.4 IPS |
|
|
Style Transfer (HP)
|
100% |
63206
81.3 IPS |
|
|
Style Transfer (Q)
|
98% |
224686
289.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12464
460.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12674
468.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36717
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4633
6.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4756
6.35 KIPS |
|
|
Text Classification (Q)
|
92% |
5448
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
7548
130.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7481
128.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7172
123.5 IPS |
