Micro-Star International Co., Ltd. MS-7C84
Geekbench AI Score
23255
Single Precision Score
35338
Half Precision Score
14642
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| Upload Date | January 05 2025 07:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C84 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570 TOMAHAWK WIFI (MS-7C84) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9309
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
12983
2.42 KIPS |
|
|
Image Classification (Q)
|
100% |
6528
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15343
248.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20804
337.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11467
186.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
132886
155.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
354132
413.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
106005
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
12011
952.7 IPS |
|
|
Object Detection (HP)
|
100% |
17276
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
8367
673.1 IPS |
|
|
Face Detection (SP)
|
100% |
32877
390.7 IPS |
|
|
Face Detection (HP)
|
100% |
47415
563.4 IPS |
|
|
Face Detection (Q)
|
97% |
22790
271.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
60187
463.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106847
823.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
36669
293.8 IPS |
|
|
Style Transfer (SP)
|
100% |
246328
316.7 IPS |
|
|
Style Transfer (HP)
|
100% |
595589
765.6 IPS |
|
|
Style Transfer (Q)
|
98% |
184106
237.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36454
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44891
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20564
761.5 IPS |
|
|
Text Classification (SP)
|
100% |
2791
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3368
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1406
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4093
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1534
28.8 IPS |
