MACHINIST X99 MD8
Geekbench AI Score
1303
Single Precision Score
1365
Half Precision Score
929
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | October 25 2025 05:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2696 v4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | MACHINIST X99 MD8 |
| Motherboard | MACHINIST X99 MD8 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v4 |
| Topology | 2 Processors, 44 Cores, 88 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
835
155.4 IPS |
|
|
Image Classification (HP)
|
100% |
943
175.3 IPS |
|
|
Image Classification (Q)
|
99% |
721
134.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
696
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1629
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1671
1.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
3450
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
1061
84.2 IPS |
|
|
Object Detection (HP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (Q)
|
85% |
757
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
1946
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
1238
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1473
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1404
10.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1262
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1645
2.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1621
2.08 IPS |
|
|
Style Transfer (Q)
|
98% |
3941
5.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
914
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
817
30.3 IPS |
|
|
Text Classification (SP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
221
297.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1484
25.6 IPS |
|
|
Machine Translation (Q)
|
58% |
330
7.75 IPS |
