Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
39363
Single Precision Score
53496
Half Precision Score
29858
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 06:57 PM |
| Views | 26 |
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 | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13761
2.56 KIPS |
|
|
Image Classification (HP)
|
99% |
17491
3.26 KIPS |
|
|
Image Classification (Q)
|
100% |
11603
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24871
403.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
30961
501.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
23519
382.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
346359
404.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
565940
660.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
300036
351.3 IPS |
|
|
Object Detection (SP)
|
100% |
19987
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
25830
2.05 KIPS |
|
|
Object Detection (Q)
|
89% |
16933
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
53859
640.0 IPS |
|
|
Face Detection (HP)
|
100% |
65319
776.1 IPS |
|
|
Face Detection (Q)
|
97% |
44796
534.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
98874
761.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
164367
1.27 KIPS |
|
|
Depth Estimation (Q)
|
75% |
72511
585.3 IPS |
|
|
Style Transfer (SP)
|
100% |
610720
785.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1125074
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
524838
676.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61487
2.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83358
3.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45450
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3644
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
4379
5.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2262
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5173
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5500
94.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2318
51.7 IPS |
