Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
41866
Single Precision Score
58389
Half Precision Score
32334
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 06:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR WIFI (MS-7C94) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14647
2.72 KIPS |
|
|
Image Classification (HP)
|
100% |
18333
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
13017
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27747
449.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
30100
487.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
25604
416.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
405938
473.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
881237
1.03 KIPS |
|
|
Pose Estimation (Q)
|
96% |
322519
377.8 IPS |
|
|
Object Detection (SP)
|
100% |
20348
1.61 KIPS |
|
|
Object Detection (HP)
|
100% |
25618
2.03 KIPS |
|
|
Object Detection (Q)
|
85% |
17833
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
62938
747.8 IPS |
|
|
Face Detection (HP)
|
100% |
80112
951.9 IPS |
|
|
Face Detection (Q)
|
97% |
51415
613.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
100534
774.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
180490
1.39 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78369
627.7 IPS |
|
|
Style Transfer (SP)
|
100% |
627950
807.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1543879
1.98 KIPS |
|
|
Style Transfer (Q)
|
98% |
530816
684.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68778
2.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86214
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49908
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2137
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5620
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5133
88.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2857
53.6 IPS |
