Lambda Lambda Vector
Geekbench AI Score
37
Single Precision Score
39
Half Precision Score
34
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| Upload Date | September 23 2025 10:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Lambda Lambda Vector |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11
2.06 IPS |
|
|
Image Classification (HP)
|
100% |
11
2.08 IPS |
|
|
Image Classification (Q)
|
97% |
10
1.90 IPS |
|
|
Image Segmentation (SP)
|
100% |
28
0.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
30
0.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
25
0.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
54
0.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
45
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
18
1.42 IPS |
|
|
Object Detection (HP)
|
100% |
20
1.61 IPS |
|
|
Object Detection (Q)
|
87% |
20
1.64 IPS |
|
|
Face Detection (SP)
|
100% |
79
0.94 IPS |
|
|
Face Detection (HP)
|
100% |
79
0.94 IPS |
|
|
Face Detection (Q)
|
97% |
68
0.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
63
0.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
71
0.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
51
0.47 IPS |
|
|
Style Transfer (SP)
|
100% |
218
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
220
0.28 IPS |
|
|
Style Transfer (Q)
|
98% |
187
0.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40
1.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41
1.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36
1.32 IPS |
|
|
Text Classification (SP)
|
100% |
10
13.4 IPS |
|
|
Text Classification (HP)
|
100% |
9
12.0 IPS |
|
|
Text Classification (Q)
|
91% |
9
12.5 IPS |
|
|
Machine Translation (SP)
|
100% |
51
0.88 IPS |
|
|
Machine Translation (HP)
|
100% |
51
0.89 IPS |
|
|
Machine Translation (Q)
|
58% |
49
1.16 IPS |
