Razer x Lambda TensorBook (late 2021)
Geekbench AI Score
1276
Single Precision Score
1291
Half Precision Score
774
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 30 2025 09:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Razer x Lambda TensorBook (late 2021) |
| Motherboard | Razer x Lambda CH570 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (Q)
|
99% |
420
78.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
555
9.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
1641
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1565
1.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
1559
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
791
62.7 IPS |
|
|
Object Detection (HP)
|
100% |
804
63.8 IPS |
|
|
Object Detection (Q)
|
85% |
436
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1746
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
1161
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1688
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1686
13.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1100
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2330
3.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2226
2.86 IPS |
|
|
Style Transfer (Q)
|
98% |
3514
4.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
712
26.4 IPS |
|
|
Text Classification (SP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (Q)
|
92% |
345
463.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1641
28.3 IPS |
|
|
Machine Translation (Q)
|
58% |
447
10.5 IPS |
