LENOVO 12X9CTO1WW
Geekbench AI Score
2526
Single Precision Score
2537
Half Precision Score
1846
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | hironeko |
| Upload Date | February 22 2025 08:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | LENOVO 12X9CTO1WW |
| Motherboard | LENOVO 3317 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.18 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 89.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1905
354.3 IPS |
|
|
Image Classification (HP)
|
100% |
1957
363.9 IPS |
|
|
Image Classification (Q)
|
99% |
1473
274.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1281
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2818
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2768
3.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
3797
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.5 IPS |
|
|
Object Detection (HP)
|
100% |
1735
137.6 IPS |
|
|
Object Detection (Q)
|
85% |
1266
101.9 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (Q)
|
97% |
2722
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2972
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3033
23.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2285
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3279
4.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3325
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
6608
8.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1943
71.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1788
66.3 IPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2184
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
942
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (Q)
|
58% |
733
17.2 IPS |
