Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
7876
Single Precision Score
7901
Half Precision Score
18308
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 18 2025 03:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4695
873.2 IPS |
|
|
Image Classification (HP)
|
100% |
4635
862.0 IPS |
|
|
Image Classification (Q)
|
100% |
10266
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4579
74.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4591
74.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9938
161.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12712
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12809
14.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
50083
58.6 IPS |
|
|
Object Detection (SP)
|
100% |
5042
400.0 IPS |
|
|
Object Detection (HP)
|
100% |
5140
407.7 IPS |
|
|
Object Detection (Q)
|
88% |
11566
927.1 IPS |
|
|
Face Detection (SP)
|
100% |
12373
147.0 IPS |
|
|
Face Detection (HP)
|
100% |
12013
142.7 IPS |
|
|
Face Detection (Q)
|
100% |
32374
384.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13425
103.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13405
103.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
36649
285.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33291
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33473
43.0 IPS |
|
|
Style Transfer (Q)
|
98% |
120735
155.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6880
254.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6888
254.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20781
769.6 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (Q)
|
92% |
4355
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5175
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5524
95.2 IPS |
