LENOVO 83D4
Geekbench AI Score
9000
Single Precision Score
13986
Half Precision Score
20791
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 12:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83D4 |
| 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% |
6247
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
9151
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
9988
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5388
87.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13720
222.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20357
330.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24708
28.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
23707
27.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
81642
95.6 IPS |
|
|
Object Detection (SP)
|
100% |
6013
477.0 IPS |
|
|
Object Detection (HP)
|
100% |
9658
766.1 IPS |
|
|
Object Detection (Q)
|
88% |
13757
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
10534
125.2 IPS |
|
|
Face Detection (HP)
|
100% |
21248
252.5 IPS |
|
|
Face Detection (Q)
|
100% |
32631
387.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21019
161.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
36880
285.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
42290
328.7 IPS |
|
|
Style Transfer (SP)
|
100% |
61110
78.6 IPS |
|
|
Style Transfer (HP)
|
100% |
76073
97.8 IPS |
|
|
Style Transfer (Q)
|
98% |
192718
248.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9901
365.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17441
644.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24892
921.8 IPS |
|
|
Text Classification (SP)
|
71% |
1768
2.56 KIPS |
|
|
Text Classification (HP)
|
71% |
2624
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2771
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2947
50.8 IPS |
|
|
Machine Translation (HP)
|
96% |
3654
63.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3604
62.1 IPS |
