LENOVO 21MA002RIV
Geekbench AI Score
2500
Single Precision Score
2385
Half Precision Score
5692
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 09:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MA002RIV |
| Motherboard | LENOVO 21MA002RIV |
| Power Plan | Balanced |
| 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% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (Q)
|
100% |
4169
775.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3890
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3459
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3461
4.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
12511
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (Q)
|
88% |
3195
256.1 IPS |
|
|
Face Detection (SP)
|
100% |
4413
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
4518
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
7880
93.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3767
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3813
29.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9742
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10148
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9990
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30484
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5603
207.5 IPS |
|
|
Text Classification (SP)
|
100% |
1495
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (Q)
|
92% |
2574
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1633
28.1 IPS |
