MACHINIST X99 PR9-A
Geekbench AI Score
3624
Single Precision Score
3562
Half Precision Score
3760
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 01:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MACHINIST X99 PR9-A |
| Motherboard | MACHINIST X99 PR9-A |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2178
405.1 IPS |
|
|
Image Classification (HP)
|
100% |
2162
402.0 IPS |
|
|
Image Classification (Q)
|
100% |
2796
520.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3520
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6901
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6808
7.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
8299
9.73 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (Q)
|
87% |
2805
224.9 IPS |
|
|
Face Detection (SP)
|
100% |
3889
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (Q)
|
97% |
8466
100.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6172
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6008
46.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
8122
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19275
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19790
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23951
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4394
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (Q)
|
91% |
213
286.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1602
27.6 IPS |
