MACHINIST
Geekbench AI Score
5492
Single Precision Score
5519
Half Precision Score
4863
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 11:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2696 v4 @ 2.20GHz |
| 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% |
3818
709.9 IPS |
|
|
Image Classification (HP)
|
100% |
3770
701.2 IPS |
|
|
Image Classification (Q)
|
100% |
3661
680.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3639
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3939
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10284
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10317
12.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
12231
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
3767
298.8 IPS |
|
|
Object Detection (HP)
|
100% |
3786
300.3 IPS |
|
|
Object Detection (Q)
|
87% |
4003
321.1 IPS |
|
|
Face Detection (SP)
|
100% |
10843
128.8 IPS |
|
|
Face Detection (HP)
|
100% |
10743
127.7 IPS |
|
|
Face Detection (Q)
|
97% |
11892
141.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10183
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10237
78.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
12415
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32407
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32420
41.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35338
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6100
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6093
225.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6332
234.6 IPS |
|
|
Text Classification (SP)
|
100% |
1100
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1185
1.58 KIPS |
|
|
Text Classification (Q)
|
91% |
166
223.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1935
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1907
32.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1912
32.9 IPS |
