LENOVO Lenovo System x3850 X6 -[6241AC3]-
Geekbench AI Score
1584
Single Precision Score
605
Half Precision Score
1535
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | josepgatius |
| Upload Date | January 12 2025 01:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E7-8880 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Datacenter (64-bit) |
| Model | LENOVO Lenovo System x3850 X6 -[6241AC3]- |
| Motherboard | LENOVO 00YA700 |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Xeon E7-8880 v4 |
| Topology | 4 Processors, 88 Cores, 176 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
617
114.7 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
96% |
871
162.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
916
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16808
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
3432
4.01 IPS |
|
|
Pose Estimation (Q)
|
87% |
18576
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
810
64.3 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
86% |
551
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1392
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
541
6.43 IPS |
|
|
Face Detection (Q)
|
96% |
1626
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4471
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
890
6.86 IPS |
|
|
Depth Estimation (Q)
|
77% |
2662
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17137
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8244
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
9339
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
907
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
884
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
555
740.6 IPS |
|
|
Text Classification (HP)
|
100% |
263
351.5 IPS |
|
|
Text Classification (Q)
|
97% |
244
326.8 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (HP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (Q)
|
60% |
1021
22.8 IPS |
