LENOVO 83DA
Geekbench AI Score
8688
Single Precision Score
13650
Half Precision Score
20184
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 09:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83DA |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6354
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
8696
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
10631
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5319
86.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13699
222.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19507
316.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25206
29.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
22427
26.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
79541
93.1 IPS |
|
|
Object Detection (SP)
|
100% |
5916
469.3 IPS |
|
|
Object Detection (HP)
|
100% |
9186
728.6 IPS |
|
|
Object Detection (Q)
|
88% |
12880
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
10800
128.3 IPS |
|
|
Face Detection (HP)
|
100% |
21652
257.3 IPS |
|
|
Face Detection (Q)
|
100% |
35194
418.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20645
159.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
35132
271.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
40144
312.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59222
76.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72667
93.4 IPS |
|
|
Style Transfer (Q)
|
98% |
175391
226.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8937
330.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16503
609.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22185
821.6 IPS |
|
|
Text Classification (SP)
|
71% |
1532
2.22 KIPS |
|
|
Text Classification (HP)
|
71% |
2539
3.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2439
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2692
46.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3952
68.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3940
68.1 IPS |
