Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
2666
Single Precision Score
2661
Half Precision Score
2376
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | sanchorubyroid |
| Upload Date | March 11 2026 07:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.88 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1773
329.7 IPS |
|
|
Image Classification (HP)
|
100% |
1770
329.3 IPS |
|
|
Image Classification (Q)
|
99% |
1588
296.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3409
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3402
55.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1569
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3943
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3952
4.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
6361
7.45 IPS |
|
|
Object Detection (SP)
|
100% |
2015
159.9 IPS |
|
|
Object Detection (HP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (Q)
|
85% |
1964
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
3306
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3005
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3013
23.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2919
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3768
4.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3769
4.85 IPS |
|
|
Style Transfer (Q)
|
98% |
8684
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2633
97.6 IPS |
|
|
Text Classification (SP)
|
100% |
1821
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (Q)
|
58% |
875
20.5 IPS |
