Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
3628
Single Precision Score
3664
Half Precision Score
2155
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | PBL |
| Upload Date | April 16 2025 08:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 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 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.57 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2889
537.3 IPS |
|
|
Image Classification (HP)
|
100% |
2927
544.4 IPS |
|
|
Image Classification (Q)
|
99% |
1647
307.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3634
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3783
61.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1358
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4037
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3973
4.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
4508
5.28 IPS |
|
|
Object Detection (SP)
|
100% |
2235
177.3 IPS |
|
|
Object Detection (HP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (Q)
|
85% |
1445
116.3 IPS |
|
|
Face Detection (SP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
5031
59.8 IPS |
|
|
Face Detection (Q)
|
97% |
3432
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4342
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4315
33.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2707
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4199
5.40 IPS |
|
|
Style Transfer (HP)
|
100% |
4164
5.35 IPS |
|
|
Style Transfer (Q)
|
98% |
7645
9.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3086
113.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3102
114.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2261
83.8 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (Q)
|
92% |
1066
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4732
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4800
82.7 IPS |
|
|
Machine Translation (Q)
|
58% |
867
20.4 IPS |
