Lambda Lambda Vector
Geekbench AI Score
43
Single Precision Score
44
Half Precision Score
37
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| Upload Date | September 23 2025 09:59 PM |
| Views | 1 |
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% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
97% |
99
18.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
134
2.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
240
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
126
0.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
62
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
13
1.05 IPS |
|
|
Object Detection (HP)
|
100% |
12
0.98 IPS |
|
|
Object Detection (Q)
|
87% |
13
1.01 IPS |
|
|
Face Detection (SP)
|
100% |
48
0.57 IPS |
|
|
Face Detection (HP)
|
100% |
53
0.63 IPS |
|
|
Face Detection (Q)
|
97% |
43
0.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
43
0.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
41
0.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
32
0.30 IPS |
|
|
Style Transfer (SP)
|
100% |
150
0.19 IPS |
|
|
Style Transfer (HP)
|
100% |
146
0.19 IPS |
|
|
Style Transfer (Q)
|
98% |
124
0.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31
1.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36
1.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
30
1.12 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.95 IPS |
|
|
Text Classification (HP)
|
100% |
4
5.42 IPS |
|
|
Text Classification (Q)
|
91% |
4
5.06 IPS |
|
|
Machine Translation (SP)
|
100% |
11
0.19 IPS |
|
|
Machine Translation (HP)
|
100% |
22
0.38 IPS |
|
|
Machine Translation (Q)
|
58% |
22
0.52 IPS |
