Micro-Star International Co., Ltd. MS-7B79
Geekbench AI Score
938
Single Precision Score
915
Half Precision Score
685
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | May 14 2025 11:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 2700X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Micro-Star International Co., Ltd. MS-7B79 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PRO (MS-7B79) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
649
120.7 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (Q)
|
99% |
446
83.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
547
8.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1266
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1238
1.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
1263
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (HP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (Q)
|
85% |
412
33.1 IPS |
|
|
Face Detection (SP)
|
100% |
1258
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
1199
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1193
9.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
1174
9.04 IPS |
|
|
Depth Estimation (Q)
|
63% |
888
8.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1710
2.20 IPS |
|
|
Style Transfer (HP)
|
100% |
1722
2.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2578
3.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
677
25.1 IPS |
|
|
Text Classification (SP)
|
100% |
679
906.8 IPS |
|
|
Text Classification (HP)
|
100% |
592
790.2 IPS |
|
|
Text Classification (Q)
|
92% |
266
358.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (Q)
|
58% |
367
8.61 IPS |
