Micro-Star International Co., Ltd. MS-7E66
Geekbench AI Score
2738
Single Precision Score
2799
Half Precision Score
2450
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | pcbrom |
| Upload Date | December 21 2025 02:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X3D |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro-Star International Co., Ltd. MS-7E66 |
| Motherboard | Micro-Star International Co., Ltd. B850M GAMING PLUS WIFI (MS-7E66) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.58 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1864
346.6 IPS |
|
|
Image Classification (HP)
|
100% |
2024
376.5 IPS |
|
|
Image Classification (Q)
|
99% |
1833
341.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3061
49.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1657
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3783
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3654
4.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
5590
6.55 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.2 IPS |
|
|
Object Detection (HP)
|
100% |
2108
167.2 IPS |
|
|
Object Detection (Q)
|
85% |
1995
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
3806
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2972
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3146
24.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3051
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3590
4.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3512
4.51 IPS |
|
|
Style Transfer (Q)
|
98% |
8340
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2108
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2135
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2585
95.8 IPS |
|
|
Text Classification (SP)
|
100% |
1727
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
1012
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3802
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3788
65.2 IPS |
|
|
Machine Translation (Q)
|
58% |
911
21.4 IPS |
