Micro-Star International Co., Ltd. MS-7B98
Geekbench AI Score
12131
Single Precision Score
20030
Half Precision Score
8281
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 12:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B98 |
| Motherboard | Micro-Star International Co., Ltd. Z390-A PRO (MS-7B98) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4674
869.2 IPS |
|
|
Image Classification (HP)
|
99% |
7732
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
3643
677.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7463
121.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10380
168.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6329
102.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
67035
78.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
170986
199.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
55027
64.4 IPS |
|
|
Object Detection (SP)
|
100% |
6281
498.2 IPS |
|
|
Object Detection (HP)
|
100% |
10399
824.8 IPS |
|
|
Object Detection (Q)
|
89% |
4785
383.0 IPS |
|
|
Face Detection (SP)
|
100% |
13567
161.2 IPS |
|
|
Face Detection (HP)
|
100% |
20122
239.1 IPS |
|
|
Face Detection (Q)
|
97% |
10241
122.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
30195
232.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
57043
439.5 IPS |
|
|
Depth Estimation (Q)
|
71% |
20229
168.1 IPS |
|
|
Style Transfer (SP)
|
100% |
108690
139.7 IPS |
|
|
Style Transfer (HP)
|
100% |
277365
356.6 IPS |
|
|
Style Transfer (Q)
|
98% |
92134
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19420
717.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32483
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12297
455.3 IPS |
|
|
Text Classification (SP)
|
100% |
2200
2.94 KIPS |
|
|
Text Classification (HP)
|
99% |
2812
3.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1060
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1005
22.4 IPS |
