Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
1481
Single Precision Score
1478
Half Precision Score
994
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | September 19 2024 06:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.62 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1132
210.5 IPS |
|
|
Image Classification (HP)
|
100% |
1113
207.0 IPS |
|
|
Image Classification (Q)
|
99% |
678
126.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
737
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2073
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2051
2.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
2083
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
979
77.6 IPS |
|
|
Object Detection (HP)
|
100% |
994
78.8 IPS |
|
|
Object Detection (Q)
|
85% |
622
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1778
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
1407
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1757
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1757
13.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1321
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2345
3.01 IPS |
|
|
Style Transfer (HP)
|
100% |
2349
3.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3738
4.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1152
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1011
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
1076
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1086
1.45 KIPS |
|
|
Text Classification (Q)
|
92% |
479
643.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1646
28.3 IPS |
|
|
Machine Translation (Q)
|
58% |
433
10.2 IPS |
