Micro-Star International Co., Ltd. MS-7C88
Geekbench AI Score
12203
Single Precision Score
14590
Half Precision Score
9303
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | frank_m_h_jaeger |
| Upload Date | August 23 2024 11:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C88 |
| Motherboard | Micro-Star International Co., Ltd. B460M-A PRO (MS-7C88) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4552
846.5 IPS |
|
|
Image Classification (HP)
|
100% |
5392
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
4205
781.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7484
121.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6338
102.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6507
105.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
69846
81.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
116448
135.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
60745
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
4711
373.7 IPS |
|
|
Object Detection (HP)
|
100% |
5893
467.5 IPS |
|
|
Object Detection (Q)
|
89% |
3671
293.8 IPS |
|
|
Face Detection (SP)
|
100% |
14371
170.8 IPS |
|
|
Face Detection (HP)
|
100% |
16966
201.6 IPS |
|
|
Face Detection (Q)
|
97% |
10457
124.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
31020
239.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
39825
306.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
23874
194.9 IPS |
|
|
Style Transfer (SP)
|
100% |
131146
168.6 IPS |
|
|
Style Transfer (HP)
|
100% |
178452
229.4 IPS |
|
|
Style Transfer (Q)
|
98% |
114276
147.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21502
794.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28222
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13951
516.6 IPS |
|
|
Text Classification (SP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1482
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2191
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1945
33.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1350
30.1 IPS |
