Micro-Star International Co., Ltd. MS-7D97
Geekbench AI Score
10672
Single Precision Score
19666
Half Precision Score
7108
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 19 2025 06:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D97 |
| Motherboard | Micro-Star International Co., Ltd. MAG B660M MORTAR MAX WIFI DDR4 (MS-7D97) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4309
801.4 IPS |
|
|
Image Classification (HP)
|
99% |
8112
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
3475
648.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7050
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11507
186.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5738
93.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
48106
56.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154189
179.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
39745
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
5102
404.7 IPS |
|
|
Object Detection (HP)
|
100% |
10485
831.7 IPS |
|
|
Object Detection (Q)
|
84% |
3907
315.1 IPS |
|
|
Face Detection (SP)
|
100% |
11648
138.4 IPS |
|
|
Face Detection (HP)
|
100% |
21050
250.1 IPS |
|
|
Face Detection (Q)
|
97% |
9324
111.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24352
187.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50311
388.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
17293
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
83032
106.7 IPS |
|
|
Style Transfer (HP)
|
100% |
207334
266.5 IPS |
|
|
Style Transfer (Q)
|
98% |
63523
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16042
592.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27668
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9191
340.3 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3076
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1068
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2903
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1058
19.8 IPS |
