LENOVO 83D4
Geekbench AI Score
8664
Single Precision Score
12803
Half Precision Score
18770
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 13 2024 04:58 AM |
| Views | 2 |
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 83D4 |
| 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% |
5645
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
8063
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
9507
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5123
83.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11951
193.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16535
268.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24620
28.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
22679
26.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
74909
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
5329
422.7 IPS |
|
|
Object Detection (HP)
|
100% |
8238
653.4 IPS |
|
|
Object Detection (Q)
|
88% |
11237
900.5 IPS |
|
|
Face Detection (SP)
|
100% |
10880
129.3 IPS |
|
|
Face Detection (HP)
|
100% |
21276
252.8 IPS |
|
|
Face Detection (Q)
|
100% |
32622
387.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20554
158.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
34201
264.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
39746
308.9 IPS |
|
|
Style Transfer (SP)
|
100% |
57915
74.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72035
92.6 IPS |
|
|
Style Transfer (Q)
|
98% |
172537
222.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9619
355.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15417
569.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22746
842.4 IPS |
|
|
Text Classification (SP)
|
71% |
1982
2.87 KIPS |
|
|
Text Classification (HP)
|
71% |
2593
3.75 KIPS |
|
|
Text Classification (Q)
|
92% |
2635
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2546
43.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3137
54.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3061
52.7 IPS |
