LENOVO 21NS001ACD
Geekbench AI Score
3038
Single Precision Score
3008
Half Precision Score
7489
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 08:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21NS001ACD |
| Motherboard | LENOVO 21NS001ACD |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
1933
359.4 IPS |
|
|
Image Classification (Q)
|
100% |
5046
938.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4158
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3381
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3295
3.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
12618
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1884
149.5 IPS |
|
|
Object Detection (HP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (Q)
|
88% |
5156
413.3 IPS |
|
|
Face Detection (SP)
|
100% |
5669
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
5639
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
12857
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4824
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4784
36.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
13730
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10209
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10345
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36230
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2119
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2121
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7578
280.6 IPS |
|
|
Text Classification (SP)
|
100% |
1863
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1884
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
3537
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2441
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2372
40.9 IPS |
