LENOVO Lenovo System x3850 X6 -[6241AC1]-
Geekbench AI Score
6519
Single Precision Score
6536
Half Precision Score
6849
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | flipflop |
| Upload Date | July 27 2025 09:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E7-8880 v4 @ 2.20GHz |
| 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% |
3899
725.1 IPS |
|
|
Image Classification (HP)
|
100% |
3987
741.5 IPS |
|
|
Image Classification (Q)
|
100% |
4276
795.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5268
85.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5438
88.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6145
99.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9302
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9196
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
12360
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
4061
322.2 IPS |
|
|
Object Detection (HP)
|
100% |
4062
322.2 IPS |
|
|
Object Detection (Q)
|
87% |
4772
382.7 IPS |
|
|
Face Detection (SP)
|
100% |
11476
136.4 IPS |
|
|
Face Detection (HP)
|
100% |
11198
133.1 IPS |
|
|
Face Detection (Q)
|
97% |
13835
165.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10469
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10534
81.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
13331
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28267
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28551
36.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35992
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5499
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5548
204.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6526
241.7 IPS |
|
|
Text Classification (SP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (Q)
|
91% |
789
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4316
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4293
73.9 IPS |
