LENOVO 20SQS0DH00
Geekbench AI Score
1393
Single Precision Score
1393
Half Precision Score
838
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | stuartcampbell |
| Upload Date | November 18 2025 11:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon W-10855M |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | LENOVO 20SQS0DH00 |
| Motherboard | LENOVO 20SQS0DH00 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-10855M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1075
200.0 IPS |
|
|
Image Classification (HP)
|
100% |
1084
201.5 IPS |
|
|
Image Classification (Q)
|
99% |
516
96.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
579
9.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
1671
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1659
1.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
1573
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
1117
88.6 IPS |
|
|
Object Detection (HP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (Q)
|
85% |
611
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1316
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1619
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1623
12.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1136
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2075
2.67 IPS |
|
|
Style Transfer (HP)
|
100% |
2077
2.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3092
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
833
30.9 IPS |
|
|
Text Classification (SP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1191
1.59 KIPS |
|
|
Text Classification (Q)
|
92% |
410
550.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (Q)
|
58% |
381
8.96 IPS |
