LENOVO 21FFS02H2Z
Geekbench AI Score
2337
Single Precision Score
2347
Half Precision Score
1603
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | masayukig |
| Upload Date | January 30 2025 02:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840HS |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | LENOVO 21FFS02H2Z |
| Motherboard | LENOVO 21FFS02H2Z |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
281.9 IPS |
|
|
Image Classification (HP)
|
100% |
1594
296.5 IPS |
|
|
Image Classification (Q)
|
99% |
1198
223.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1068
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2679
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2632
3.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
3260
3.82 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
1705
135.3 IPS |
|
|
Object Detection (Q)
|
85% |
1050
84.5 IPS |
|
|
Face Detection (SP)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
2302
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2610
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2697
20.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1924
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3466
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3508
4.51 IPS |
|
|
Style Transfer (Q)
|
98% |
6036
7.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1864
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1869
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1671
61.9 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
871
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (Q)
|
58% |
659
15.5 IPS |
