Micro-Star International Co., Ltd. MS-7B93
Geekbench AI Score
1912
Single Precision Score
1903
Half Precision Score
1358
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | afblur |
| Upload Date | October 10 2025 08:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | Micro-Star International Co., Ltd. MS-7B93 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PRO CARBON WIFI (MS-7B93) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.95 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (Q)
|
99% |
1019
190.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1038
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2534
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2498
2.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
2825
3.31 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (Q)
|
85% |
1008
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2372
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
2170
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2177
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2166
16.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1677
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2420
3.11 IPS |
|
|
Style Transfer (HP)
|
100% |
2418
3.11 IPS |
|
|
Style Transfer (Q)
|
98% |
4741
6.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1331
49.3 IPS |
|
|
Text Classification (SP)
|
100% |
1214
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1137
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
576
773.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (Q)
|
58% |
537
12.6 IPS |
