LENOVO 30BDS0M202
Geekbench AI Score
3481
Single Precision Score
880
Half Precision Score
3870
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hshamilt |
| Upload Date | March 16 2025 03:25 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Platinum 8168 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 30BDS0M202 |
| Motherboard | LENOVO 1038 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Xeon Platinum 8168 |
| Topology | 2 Processors, 48 Cores, 96 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2818
524.0 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.6 IPS |
|
|
Image Classification (Q)
|
96% |
3275
611.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1890
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16250
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5094
5.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
24889
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2748
218.0 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
58% |
3038
331.9 IPS |
|
|
Face Detection (SP)
|
100% |
6509
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
677
8.04 IPS |
|
|
Face Detection (Q)
|
96% |
6523
77.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10982
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
986
7.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
10175
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25394
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13244
17.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13732
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2200
81.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1764
65.3 IPS |
|
|
Text Classification (SP)
|
100% |
715
954.8 IPS |
|
|
Text Classification (HP)
|
100% |
326
435.5 IPS |
|
|
Text Classification (Q)
|
97% |
803
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (Q)
|
68% |
1249
24.1 IPS |
