Micro-Star International Co., Ltd. MS-7C84
Geekbench AI Score
17563
Single Precision Score
29333
Half Precision Score
13916
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | patt368 |
| Upload Date | July 19 2025 06:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C84 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570 TOMAHAWK WIFI (MS-7C84) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7093
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
12507
2.33 KIPS |
|
|
Image Classification (Q)
|
99% |
6391
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12429
201.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16989
275.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11269
183.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
86867
101.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
241723
282.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
76107
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
8781
696.5 IPS |
|
|
Object Detection (HP)
|
100% |
14964
1.19 KIPS |
|
|
Object Detection (Q)
|
84% |
7831
631.6 IPS |
|
|
Face Detection (SP)
|
100% |
21107
250.8 IPS |
|
|
Face Detection (HP)
|
100% |
33511
398.2 IPS |
|
|
Face Detection (Q)
|
97% |
18761
223.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
42331
326.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
79311
611.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
34915
279.3 IPS |
|
|
Style Transfer (SP)
|
100% |
136404
175.3 IPS |
|
|
Style Transfer (HP)
|
100% |
340531
437.8 IPS |
|
|
Style Transfer (Q)
|
98% |
123634
159.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28363
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46202
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21552
798.1 IPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3543
4.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1928
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4142
71.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1886
35.4 IPS |
