Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
36704
Single Precision Score
49399
Half Precision Score
27568
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jtracy667 |
| Upload Date | December 26 2024 08:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12752
2.37 KIPS |
|
|
Image Classification (HP)
|
99% |
16576
3.09 KIPS |
|
|
Image Classification (Q)
|
100% |
10768
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23302
377.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28713
465.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21989
357.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
320002
373.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
528480
616.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
277059
324.4 IPS |
|
|
Object Detection (SP)
|
100% |
18233
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
23276
1.85 KIPS |
|
|
Object Detection (Q)
|
89% |
15414
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
50332
598.1 IPS |
|
|
Face Detection (HP)
|
100% |
61196
727.1 IPS |
|
|
Face Detection (Q)
|
97% |
41998
500.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
92836
715.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
151799
1.17 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67568
545.4 IPS |
|
|
Style Transfer (SP)
|
100% |
573909
737.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1062471
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
486844
627.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56507
2.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73391
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41863
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2026
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5063
87.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2140
47.7 IPS |
