Micro-Star International Co., Ltd. MS-7C84
Geekbench ML Score
1982
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | June 10 2025 10:17 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Micro-Star International Co., Ltd. MS-7C84 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570 TOMAHAWK WIFI (MS-7C84) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 125.73 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1484
277.7 IPS |
|
|
Image Classification (F16)
|
100% |
1479
276.7 IPS |
|
|
Image Classification (I8)
|
99% |
1142
213.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2243
37.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2231
37.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1208
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2475
3.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
2508
3.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
4072
4.93 IPS |
|
|
Object Detection (F32)
|
100% |
1603
119.7 IPS |
|
|
Object Detection (F16)
|
100% |
1614
120.5 IPS |
|
|
Object Detection (I8)
|
65% |
1498
111.9 IPS |
|
|
Face Detection (F32)
|
100% |
2578
30.6 IPS |
|
|
Face Detection (F16)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (I8)
|
87% |
2589
30.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2379
18.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2334
18.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2604
20.2 IPS |
|
|
Style Transfer (F32)
|
100% |
2690
3.54 IPS |
|
|
Style Transfer (F16)
|
100% |
2702
3.55 IPS |
|
|
Style Transfer (I8)
|
98% |
6072
7.99 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1629
58.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1626
58.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1881
67.2 IPS |
|
|
Text Classification (F32)
|
100% |
1289
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
1396
2.01 KIPS |
|
|
Text Classification (I8)
|
92% |
685
983.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2970
54.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2978
54.8 IPS |
|
|
Machine Translation (I8)
|
62% |
936
17.2 IPS |
