LENOVO 30BDS0M202
Geekbench AI Score
8091
Single Precision Score
8210
Half Precision Score
10154
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hshamilt |
| Upload Date | March 16 2025 03:28 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Platinum 8168 CPU @ 2.70GHz |
| 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% |
4969
924.1 IPS |
|
|
Image Classification (HP)
|
100% |
5018
933.1 IPS |
|
|
Image Classification (Q)
|
100% |
5822
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6383
103.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6336
102.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7653
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18725
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19109
22.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
31341
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4630
367.3 IPS |
|
|
Object Detection (HP)
|
100% |
4460
353.8 IPS |
|
|
Object Detection (Q)
|
87% |
6649
533.3 IPS |
|
|
Face Detection (SP)
|
100% |
12210
145.1 IPS |
|
|
Face Detection (HP)
|
100% |
12518
148.7 IPS |
|
|
Face Detection (Q)
|
97% |
18382
219.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15453
119.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15172
116.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
21514
169.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48643
62.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52919
68.0 IPS |
|
|
Style Transfer (Q)
|
98% |
81015
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9455
349.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9770
360.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12832
475.3 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (Q)
|
91% |
1347
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2238
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2266
39.0 IPS |
