Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
2167
Single Precision Score
2192
Half Precision Score
1550
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | asknight1 |
| Upload Date | September 30 2024 04:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| 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% |
1501
279.2 IPS |
|
|
Image Classification (HP)
|
100% |
1505
279.9 IPS |
|
|
Image Classification (Q)
|
99% |
1034
192.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1071
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2891
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2918
3.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
3541
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (Q)
|
85% |
1127
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
2758
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2765
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
2431
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2523
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2529
19.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1965
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3195
4.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3180
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
5915
7.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1591
59.0 IPS |
|
|
Text Classification (SP)
|
100% |
1338
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
645
866.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2790
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2827
48.7 IPS |
|
|
Machine Translation (Q)
|
58% |
628
14.8 IPS |
