MECHREVO WUJIE14 PRO
Geekbench AI Score
5039
Single Precision Score
6932
Half Precision Score
3618
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LazaruX512 |
| Upload Date | September 04 2024 08:13 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | MECHREVO WUJIE14 PRO |
| Motherboard | MECHREVO WUJIE14 Series-PHX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.5 IPS |
|
|
Image Classification (Q)
|
100% |
1702
316.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3038
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3646
59.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2443
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22831
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
41284
48.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
19580
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (HP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (Q)
|
89% |
1560
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
4176
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
7255
86.2 IPS |
|
|
Face Detection (Q)
|
97% |
2844
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12339
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13484
103.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
6796
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42598
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
69691
89.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33249
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8538
315.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13704
506.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3950
146.3 IPS |
|
|
Text Classification (SP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1294
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (Q)
|
60% |
922
20.6 IPS |
