Qbits Technologies L1EA0B
Geekbench AI Score
5227
Single Precision Score
8770
Half Precision Score
3886
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 06:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Qbits Technologies L1EA0B |
| Motherboard | Qbits Technologies L1EA0B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2117
393.8 IPS |
|
|
Image Classification (HP)
|
100% |
4113
764.9 IPS |
|
|
Image Classification (Q)
|
100% |
1881
349.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3388
54.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1793
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
26158
30.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59484
69.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17963
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2000
158.7 IPS |
|
|
Object Detection (HP)
|
100% |
3212
254.8 IPS |
|
|
Object Detection (Q)
|
87% |
1739
139.7 IPS |
|
|
Face Detection (SP)
|
100% |
3416
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6611
78.5 IPS |
|
|
Face Detection (Q)
|
97% |
2819
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11514
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20961
161.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
8574
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50901
65.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95714
123.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29811
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9167
338.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16095
594.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5518
204.3 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1631
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1521
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1151
21.6 IPS |
