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 | 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% |
11
2.05 IPS |
|
|
Image Classification (HP)
|
100% |
11
2.02 IPS |
|
|
Image Classification (Q)
|
97% |
10
1.95 IPS |
|
|
Image Segmentation (SP)
|
100% |
30
0.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
28
0.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
23
0.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
50
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
53
0.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
45
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
18
1.43 IPS |
|
|
Object Detection (HP)
|
100% |
20
1.60 IPS |
|
|
Object Detection (Q)
|
87% |
21
1.65 IPS |
|
|
Face Detection (SP)
|
100% |
80
0.96 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.93 IPS |
|
|
Face Detection (Q)
|
97% |
70
0.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
63
0.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
70
0.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
51
0.47 IPS |
|
|
Style Transfer (SP)
|
100% |
207
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
219
0.28 IPS |
|
|
Style Transfer (Q)
|
98% |
184
0.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40
1.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41
1.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
34
1.27 IPS |
|
|
Text Classification (SP)
|
100% |
9
12.4 IPS |
|
|
Text Classification (HP)
|
100% |
11
14.3 IPS |
|
|
Text Classification (Q)
|
91% |
11
14.3 IPS |
|
|
Machine Translation (SP)
|
100% |
50
0.87 IPS |
|
|
Machine Translation (HP)
|
100% |
53
0.91 IPS |
|
|
Machine Translation (Q)
|
58% |
46
1.10 IPS |
