LENOVO 83D2
Geekbench AI Score
4200
Single Precision Score
6417
Half Precision Score
3034
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | shivamx96 |
| Upload Date | August 30 2025 08:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83D2 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2226
413.9 IPS |
|
|
Image Classification (HP)
|
100% |
3531
656.7 IPS |
|
|
Image Classification (Q)
|
100% |
1824
339.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3197
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7539
122.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2596
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14279
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20669
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12467
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
2396
190.0 IPS |
|
|
Object Detection (HP)
|
99% |
4466
355.3 IPS |
|
|
Object Detection (Q)
|
86% |
2092
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
4759
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8908
105.8 IPS |
|
|
Face Detection (Q)
|
97% |
3537
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8846
68.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
16841
130.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
6860
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43878
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
62300
80.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32665
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6601
243.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8951
330.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3163
117.1 IPS |
|
|
Text Classification (SP)
|
86% |
423
572.4 IPS |
|
|
Text Classification (HP)
|
99% |
419
559.5 IPS |
|
|
Text Classification (Q)
|
84% |
330
447.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (Q)
|
70% |
649
12.2 IPS |
