Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench AI Score
30220
Single Precision Score
30423
Half Precision Score
22583
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 04 2025 05:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
| 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 DRFXL |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11942
2.22 KIPS |
|
|
Image Classification (HP)
|
100% |
11650
2.17 KIPS |
|
|
Image Classification (Q)
|
99% |
9834
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21293
345.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7603
123.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17350
282.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
192329
224.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
295444
344.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
160019
187.5 IPS |
|
|
Object Detection (SP)
|
100% |
13910
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
13961
1.11 KIPS |
|
|
Object Detection (Q)
|
87% |
11620
933.2 IPS |
|
|
Face Detection (SP)
|
100% |
39320
467.2 IPS |
|
|
Face Detection (HP)
|
100% |
42862
509.3 IPS |
|
|
Face Detection (Q)
|
97% |
31438
374.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
67653
521.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
73034
562.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
51794
415.9 IPS |
|
|
Style Transfer (SP)
|
100% |
324124
416.7 IPS |
|
|
Style Transfer (HP)
|
100% |
438174
563.3 IPS |
|
|
Style Transfer (Q)
|
98% |
261929
337.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41751
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48335
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30511
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
4247
5.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4467
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2677
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
6108
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6279
108.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3123
58.6 IPS |
