LENOVO 83DF
Geekbench AI Score
3605
Single Precision Score
1295
Half Precision Score
4924
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83DF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1869
347.5 IPS |
|
|
Image Classification (HP)
|
100% |
441
81.9 IPS |
|
|
Image Classification (Q)
|
99% |
3458
645.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3229
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8822
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4028
4.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
26677
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.1 IPS |
|
|
Object Detection (Q)
|
88% |
2034
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
1420
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
4412
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8133
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1811
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
8581
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19420
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10081
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23612
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3041
112.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4332
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
592
789.8 IPS |
|
|
Text Classification (Q)
|
97% |
1448
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1860
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (Q)
|
60% |
2471
55.1 IPS |
