Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
2342
Single Precision Score
2357
Half Precision Score
1201
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | January 20 2026 11:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. B550M-A PRO (MS-7C96) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
1715
319.0 IPS |
|
|
Image Classification (Q)
|
99% |
730
136.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
853
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2510
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2513
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
2118
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (Q)
|
85% |
765
61.6 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
2021
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2653
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2673
20.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1554
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2966
3.81 IPS |
|
|
Style Transfer (HP)
|
100% |
2958
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
4357
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2051
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2072
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1132
41.9 IPS |
|
|
Text Classification (SP)
|
100% |
2048
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2059
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
673
903.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3007
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2994
51.6 IPS |
|
|
Machine Translation (Q)
|
58% |
596
14.0 IPS |
