Micro-Star International Co., Ltd. MS-7B09
Geekbench AI Score
1175
Single Precision Score
1176
Half Precision Score
949
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | bhokaal |
| Upload Date | September 10 2025 04:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 2950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Micro-Star International Co., Ltd. MS-7B09 |
| Motherboard | Micro-Star International Co., Ltd X399 GAMING PRO CARBON AC (MS-7B09) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 2950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
749
139.3 IPS |
|
|
Image Classification (HP)
|
100% |
712
132.3 IPS |
|
|
Image Classification (Q)
|
99% |
563
105.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
788
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1933
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1942
2.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
2455
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (HP)
|
100% |
867
68.8 IPS |
|
|
Object Detection (Q)
|
85% |
664
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
1371
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1435
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
1163
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1506
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1474
11.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1224
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2616
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2443
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4044
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
716
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
917
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
724
966.9 IPS |
|
|
Text Classification (HP)
|
100% |
718
958.2 IPS |
|
|
Text Classification (Q)
|
92% |
382
512.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1199
20.6 IPS |
|
|
Machine Translation (Q)
|
58% |
408
9.58 IPS |
