Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench AI Score
25294
Single Precision Score
37813
Half Precision Score
14856
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | phytertek |
| Upload Date | November 28 2024 07:37 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9736
1.81 KIPS |
|
|
Image Classification (HP)
|
99% |
13331
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
6147
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16485
267.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22877
370.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12086
196.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
180395
210.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
365184
426.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
135597
158.8 IPS |
|
|
Object Detection (SP)
|
100% |
12602
999.6 IPS |
|
|
Object Detection (HP)
|
100% |
17813
1.41 KIPS |
|
|
Object Detection (Q)
|
89% |
7918
633.9 IPS |
|
|
Face Detection (SP)
|
100% |
32390
384.9 IPS |
|
|
Face Detection (HP)
|
100% |
45114
536.1 IPS |
|
|
Face Detection (Q)
|
97% |
20553
245.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
59909
461.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
106192
818.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
35251
284.1 IPS |
|
|
Style Transfer (SP)
|
100% |
280723
360.9 IPS |
|
|
Style Transfer (HP)
|
100% |
661040
849.8 IPS |
|
|
Style Transfer (Q)
|
98% |
198900
256.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39824
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55239
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22340
827.2 IPS |
|
|
Text Classification (SP)
|
100% |
3083
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4394
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4367
75.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1327
29.6 IPS |
