Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
41687
Single Precision Score
56796
Half Precision Score
31068
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 07:07 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% |
15110
2.81 KIPS |
|
|
Image Classification (HP)
|
99% |
20169
3.76 KIPS |
|
|
Image Classification (Q)
|
100% |
12556
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25592
414.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
32081
520.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23986
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
351548
410.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
592737
691.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
305101
357.3 IPS |
|
|
Object Detection (SP)
|
100% |
21278
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
27864
2.21 KIPS |
|
|
Object Detection (Q)
|
89% |
17987
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
58845
699.2 IPS |
|
|
Face Detection (HP)
|
100% |
72551
862.1 IPS |
|
|
Face Detection (Q)
|
97% |
48522
578.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
102457
789.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
170809
1.32 KIPS |
|
|
Depth Estimation (Q)
|
75% |
74281
599.6 IPS |
|
|
Style Transfer (SP)
|
100% |
631416
811.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1174240
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
537896
693.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62904
2.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81655
3.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46728
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4897
6.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2398
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5712
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5618
96.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2334
52.1 IPS |
