LENOVO INVALID
Geekbench AI Score
3654
Single Precision Score
1719
Half Precision Score
5316
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 04:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001311-50_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO INVALID |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001311-50_Y |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3632
675.5 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (Q)
|
99% |
7994
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2615
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4234
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
5848
6.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
25361
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
3128
248.1 IPS |
|
|
Object Detection (HP)
|
100% |
863
68.5 IPS |
|
|
Object Detection (Q)
|
86% |
4923
395.7 IPS |
|
|
Face Detection (SP)
|
100% |
5449
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
1662
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
9760
116.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8762
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2691
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6467
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17064
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12816
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27747
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2395
88.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3388
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
391
523.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2978
59.8 IPS |
