Lambda Lambda Vector
Geekbench AI Score
41
Single Precision Score
39
Half Precision Score
31
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| Upload Date | September 23 2025 10:03 PM |
| Views | 3 |
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% |
61
11.4 IPS |
|
|
Image Classification (HP)
|
100% |
26
4.88 IPS |
|
|
Image Classification (Q)
|
97% |
24
4.53 IPS |
|
|
Image Segmentation (SP)
|
100% |
61
0.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
61
0.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
51
0.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
100
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
61
0.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
42
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
13
1.06 IPS |
|
|
Object Detection (HP)
|
100% |
14
1.08 IPS |
|
|
Object Detection (Q)
|
87% |
12
0.96 IPS |
|
|
Face Detection (SP)
|
100% |
54
0.64 IPS |
|
|
Face Detection (HP)
|
100% |
51
0.61 IPS |
|
|
Face Detection (Q)
|
97% |
43
0.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
62
0.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
68
0.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
56
0.52 IPS |
|
|
Style Transfer (SP)
|
100% |
268
0.35 IPS |
|
|
Style Transfer (HP)
|
100% |
260
0.33 IPS |
|
|
Style Transfer (Q)
|
98% |
206
0.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37
1.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35
1.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
26
0.97 IPS |
|
|
Text Classification (SP)
|
100% |
4
4.95 IPS |
|
|
Text Classification (HP)
|
100% |
4
4.89 IPS |
|
|
Text Classification (Q)
|
91% |
4
5.84 IPS |
|
|
Machine Translation (SP)
|
100% |
26
0.45 IPS |
|
|
Machine Translation (HP)
|
100% |
49
0.85 IPS |
|
|
Machine Translation (Q)
|
58% |
32
0.75 IPS |
