LENOVO Lenovo System x3850 X6 -[6241AC1]-
Geekbench AI Score
1008
Single Precision Score
1024
Half Precision Score
1006
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | flipflop |
| Upload Date | July 27 2025 08:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
724
134.6 IPS |
|
|
Image Classification (HP)
|
100% |
713
132.6 IPS |
|
|
Image Classification (Q)
|
99% |
800
149.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
679
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1674
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1658
1.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
4175
4.89 IPS |
|
|
Object Detection (SP)
|
100% |
838
66.5 IPS |
|
|
Object Detection (HP)
|
100% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
85% |
998
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
1677
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1205
9.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
1218
9.38 IPS |
|
|
Depth Estimation (Q)
|
63% |
1339
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1661
2.14 IPS |
|
|
Style Transfer (HP)
|
100% |
1580
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
4014
5.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1076
39.9 IPS |
|
|
Text Classification (SP)
|
100% |
505
674.0 IPS |
|
|
Text Classification (HP)
|
100% |
513
684.4 IPS |
|
|
Text Classification (Q)
|
92% |
167
224.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
58% |
291
6.83 IPS |
