Micro-Star International Co., Ltd. MS-7E66
Geekbench AI Score
5730
Single Precision Score
1176
Half Precision Score
12004
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | pcbrom |
| Upload Date | December 21 2025 02:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2349
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (Q)
|
97% |
10863
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
4466
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20414
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10793
12.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
67067
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
3075
243.9 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
86% |
12925
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4540
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
470
5.59 IPS |
|
|
Face Detection (Q)
|
97% |
20912
249.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11597
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1278
9.84 IPS |
|
|
Depth Estimation (Q)
|
78% |
26194
209.0 IPS |
|
|
Style Transfer (SP)
|
100% |
39771
51.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26583
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34152
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4216
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3336
123.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5868
217.3 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2139
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4055
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
6293
126.5 IPS |
