MACHINIST X99 PR9-A
Geekbench AI Score
3501
Single Precision Score
3511
Half Precision Score
3714
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 08:58 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 | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
2161
401.9 IPS |
|
|
Image Classification (Q)
|
100% |
2730
507.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2736
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3462
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6586
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
6590
7.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
8257
9.68 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (Q)
|
87% |
2775
222.6 IPS |
|
|
Face Detection (SP)
|
100% |
3903
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
3891
46.2 IPS |
|
|
Face Detection (Q)
|
97% |
8295
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6129
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5922
45.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
8011
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18624
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18920
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23715
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3669
135.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4362
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
1622
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1647
2.20 KIPS |
|
|
Text Classification (Q)
|
91% |
220
295.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1527
26.3 IPS |
