LENOVO 83EG
Geekbench AI Score
1964
Single Precision Score
961
Half Precision Score
2714
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 07:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840H with Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 83EG |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840H with Radeon 780M Graphics |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1107
205.8 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (Q)
|
99% |
2947
549.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1555
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3193
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2810
3.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
13535
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
88% |
1274
102.1 IPS |
|
|
Face Detection (SP)
|
100% |
2537
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
3841
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3897
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1446
11.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3743
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8149
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7403
9.52 IPS |
|
|
Style Transfer (Q)
|
98% |
18678
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2408
89.2 IPS |
|
|
Text Classification (SP)
|
100% |
1112
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
455
607.7 IPS |
|
|
Text Classification (Q)
|
97% |
288
386.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (Q)
|
60% |
1476
32.9 IPS |
