Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
6400
Single Precision Score
6360
Half Precision Score
16294
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jtracy667 |
| Upload Date | August 16 2024 07:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-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 | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4185
778.3 IPS |
|
|
Image Classification (HP)
|
100% |
4305
800.5 IPS |
|
|
Image Classification (Q)
|
100% |
10113
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3676
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3587
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9398
152.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7858
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
7830
9.14 IPS |
|
|
Pose Estimation (Q)
|
98% |
31310
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3804
301.7 IPS |
|
|
Object Detection (HP)
|
100% |
3847
305.2 IPS |
|
|
Object Detection (Q)
|
88% |
10626
851.8 IPS |
|
|
Face Detection (SP)
|
100% |
10336
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
10172
120.9 IPS |
|
|
Face Detection (Q)
|
100% |
27090
321.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10588
81.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
10758
82.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
29957
237.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22596
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22533
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
80633
104.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15451
572.2 IPS |
|
|
Text Classification (SP)
|
100% |
3646
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (Q)
|
92% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5771
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (Q)
|
85% |
7551
132.0 IPS |
