LENOVO 83DN
Geekbench AI Score
2978
Single Precision Score
2986
Half Precision Score
7513
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | February 22 2025 06:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (Q)
|
100% |
5119
951.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3935
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4675
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4708
5.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
15317
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (HP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (Q)
|
88% |
5306
425.3 IPS |
|
|
Face Detection (SP)
|
100% |
4272
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (Q)
|
100% |
8869
105.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4486
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4469
34.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11883
92.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14516
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12718
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
40097
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2325
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8178
302.9 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2134
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
3930
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2579
44.4 IPS |
