MACHINIST
Geekbench AI Score
3003
Single Precision Score
959
Half Precision Score
2202
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 11:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2696 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Datacenter (64-bit) |
| Model | MACHINIST |
| Motherboard | MACHINIST E5-MR9A PRO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v4 |
| Topology | 1 Processor, 22 Cores, 44 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (Q)
|
96% |
1793
334.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
1514
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10509
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5521
6.44 IPS |
|
|
Pose Estimation (Q)
|
87% |
10619
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
2017
160.0 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
86% |
1169
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
2857
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
876
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
2520
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7960
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1242
9.57 IPS |
|
|
Depth Estimation (Q)
|
77% |
4929
39.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20471
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12620
16.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11899
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2332
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1881
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
353
470.7 IPS |
|
|
Text Classification (Q)
|
97% |
262
351.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (Q)
|
60% |
1092
24.4 IPS |
