Desktop-2021 Micro-Star International Co., Ltd. MS-7C24
Geekbench AI Score
15093
Single Precision Score
24392
Half Precision Score
10353
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | aldenyuan |
| Upload Date | March 12 2025 10:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C24 |
| Motherboard | Micro-Star International Co., Ltd. Z390M-S01 (MS-7C24) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5971
1.11 KIPS |
|
|
Image Classification (HP)
|
99% |
9128
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
4640
862.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9224
149.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12516
202.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7516
122.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
90040
105.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
240840
281.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73620
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
7578
601.1 IPS |
|
|
Object Detection (HP)
|
100% |
12270
973.2 IPS |
|
|
Object Detection (Q)
|
85% |
5657
455.4 IPS |
|
|
Face Detection (SP)
|
100% |
18103
215.1 IPS |
|
|
Face Detection (HP)
|
100% |
26361
313.2 IPS |
|
|
Face Detection (Q)
|
97% |
14598
174.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
41873
322.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
72344
557.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
27969
223.9 IPS |
|
|
Style Transfer (SP)
|
100% |
143223
184.1 IPS |
|
|
Style Transfer (HP)
|
100% |
343984
442.2 IPS |
|
|
Style Transfer (Q)
|
98% |
116284
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25999
960.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35872
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15533
575.2 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
99% |
3328
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1036
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2723
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1275
23.9 IPS |
