Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
24720
Single Precision Score
36681
Half Precision Score
18615
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 07:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR WIFI (MS-7C94) |
| Power Plan | G tasarrufu |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9500
1.77 KIPS |
|
|
Image Classification (HP)
|
99% |
14192
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
8199
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17204
278.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21701
351.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15646
254.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
150002
175.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
342076
399.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
133719
156.6 IPS |
|
|
Object Detection (SP)
|
100% |
11969
949.4 IPS |
|
|
Object Detection (HP)
|
100% |
17976
1.43 KIPS |
|
|
Object Detection (Q)
|
88% |
9696
777.6 IPS |
|
|
Face Detection (SP)
|
100% |
29446
349.9 IPS |
|
|
Face Detection (HP)
|
100% |
42369
503.4 IPS |
|
|
Face Detection (Q)
|
97% |
24486
291.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
57824
445.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
102651
790.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
44995
361.9 IPS |
|
|
Style Transfer (SP)
|
100% |
257157
330.6 IPS |
|
|
Style Transfer (HP)
|
100% |
561733
722.1 IPS |
|
|
Style Transfer (Q)
|
98% |
229993
296.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43908
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52794
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31496
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1978
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4735
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4694
80.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1903
42.4 IPS |
