Micro-Star International Co., Ltd. MS-7B98
Geekbench AI Score
12263
Single Precision Score
12919
Half Precision Score
9488
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 08:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B98 |
| Motherboard | Micro-Star International Co., Ltd. Z390-A PRO (MS-7B98) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-9100F |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4783
889.4 IPS |
|
|
Image Classification (HP)
|
100% |
4804
893.4 IPS |
|
|
Image Classification (Q)
|
100% |
4591
853.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7639
123.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6261
101.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6691
108.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
72682
84.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
119284
139.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62220
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
4710
373.6 IPS |
|
|
Object Detection (HP)
|
100% |
5733
454.8 IPS |
|
|
Object Detection (Q)
|
89% |
3947
315.9 IPS |
|
|
Face Detection (SP)
|
100% |
14137
168.0 IPS |
|
|
Face Detection (HP)
|
100% |
16390
194.7 IPS |
|
|
Face Detection (Q)
|
97% |
10935
130.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
31941
246.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
36745
283.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
25212
203.3 IPS |
|
|
Style Transfer (SP)
|
100% |
143989
185.1 IPS |
|
|
Style Transfer (HP)
|
100% |
183924
236.4 IPS |
|
|
Style Transfer (Q)
|
98% |
120122
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21912
809.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27133
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16726
619.3 IPS |
|
|
Text Classification (SP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1118
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1266
28.2 IPS |
