Micro-Star International Co., Ltd. MS-7C96
Geekbench ML Score
1280
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | May 08 2025 06:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. B550M-A PRO (MS-7C96) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1043
195.2 IPS |
|
|
Image Classification (F16)
|
100% |
1030
192.7 IPS |
|
|
Image Classification (I8)
|
99% |
726
135.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1432
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1425
23.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
782
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1869
2.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1874
2.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
2063
2.50 IPS |
|
|
Object Detection (F32)
|
100% |
1133
84.6 IPS |
|
|
Object Detection (F16)
|
100% |
1136
84.8 IPS |
|
|
Object Detection (I8)
|
65% |
720
53.7 IPS |
|
|
Face Detection (F32)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (I8)
|
87% |
1433
17.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1617
12.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1614
12.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
1664
12.9 IPS |
|
|
Style Transfer (F32)
|
100% |
1966
2.59 IPS |
|
|
Style Transfer (F16)
|
100% |
2001
2.63 IPS |
|
|
Style Transfer (I8)
|
98% |
3625
4.77 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1193
42.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1218
43.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1102
39.4 IPS |
|
|
Text Classification (F32)
|
100% |
1002
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
807
1.16 KIPS |
|
|
Text Classification (I8)
|
92% |
483
694.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1435
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1434
26.4 IPS |
|
|
Machine Translation (I8)
|
62% |
615
11.3 IPS |
