LENOVO 83JC
Geekbench AI Score
15972
Single Precision Score
26422
Half Precision Score
12336
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | September 23 2024 07:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 83JC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6638
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
10696
1.99 KIPS |
|
|
Image Classification (Q)
|
100% |
5944
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10538
170.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13931
225.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9414
153.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
89306
104.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
231618
270.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
79019
92.5 IPS |
|
|
Object Detection (SP)
|
100% |
7900
626.6 IPS |
|
|
Object Detection (HP)
|
100% |
14031
1.11 KIPS |
|
|
Object Detection (Q)
|
89% |
6592
527.6 IPS |
|
|
Face Detection (SP)
|
100% |
16792
199.5 IPS |
|
|
Face Detection (HP)
|
100% |
25389
301.7 IPS |
|
|
Face Detection (Q)
|
97% |
13872
165.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
35712
275.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74243
572.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
29454
236.6 IPS |
|
|
Style Transfer (SP)
|
100% |
137052
176.2 IPS |
|
|
Style Transfer (HP)
|
100% |
348226
447.6 IPS |
|
|
Style Transfer (Q)
|
98% |
124150
160.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26632
983.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42479
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20012
741.0 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3468
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1881
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1467
32.7 IPS |
