LENOVO Lenovo System x3850 X6 -[6241AC1]-
Geekbench AI Score
2295
Single Precision Score
581
Half Precision Score
3195
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | flipflop |
| Upload Date | July 27 2025 09:18 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E7-8880 v4 |
| System Information | |
|---|---|
| Operating System | Devuan GNU/Linux 5 (daedalus) |
| Model | LENOVO Lenovo System x3850 X6 -[6241AC1]- |
| Motherboard | LENOVO 00YA700 |
| 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 | 2.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 487.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
829
154.1 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
94% |
1775
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1396
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22520
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4974
5.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
22733
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
58% |
1929
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
2027
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
231
2.74 IPS |
|
|
Face Detection (Q)
|
96% |
5573
66.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5621
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
684
5.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
7747
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25659
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11906
15.3 IPS |
|
|
Style Transfer (Q)
|
87% |
10537
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1258
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1440
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
323
431.5 IPS |
|
|
Text Classification (Q)
|
97% |
804
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
68% |
1942
37.5 IPS |
