Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
6203
Single Precision Score
6150
Half Precision Score
9802
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | asknight1 |
| Upload Date | September 30 2024 05:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. PRO B550M-VC WIFI (MS-7C95) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3952
735.0 IPS |
|
|
Image Classification (HP)
|
100% |
3939
732.6 IPS |
|
|
Image Classification (Q)
|
100% |
6090
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3873
62.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3943
63.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6009
97.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9309
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8680
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
20668
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
3851
305.5 IPS |
|
|
Object Detection (HP)
|
100% |
3890
308.6 IPS |
|
|
Object Detection (Q)
|
87% |
6864
550.5 IPS |
|
|
Face Detection (SP)
|
100% |
10051
119.4 IPS |
|
|
Face Detection (HP)
|
100% |
10052
119.4 IPS |
|
|
Face Detection (Q)
|
97% |
20157
240.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10399
80.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10219
78.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
19204
151.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26020
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26081
33.5 IPS |
|
|
Style Transfer (Q)
|
98% |
56218
72.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5319
196.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5062
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10423
386.1 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (Q)
|
91% |
1493
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4644
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4638
79.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4658
80.2 IPS |
