MACHINIST
Geekbench AI Score
10779
Single Precision Score
17052
Half Precision Score
7611
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | DanBal76 |
| Upload Date | August 17 2024 06:52 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | MACHINIST |
| Motherboard | MACHINIST X99-MR9A PRO MAX |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2695 v4 |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3894
724.1 IPS |
|
|
Image Classification (HP)
|
99% |
5896
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
3235
601.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6738
109.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9096
147.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5782
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
64789
75.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
157741
184.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
53865
63.1 IPS |
|
|
Object Detection (SP)
|
100% |
5487
435.2 IPS |
|
|
Object Detection (HP)
|
100% |
8667
687.4 IPS |
|
|
Object Detection (Q)
|
89% |
4281
342.7 IPS |
|
|
Face Detection (SP)
|
100% |
12071
143.4 IPS |
|
|
Face Detection (HP)
|
100% |
16713
198.6 IPS |
|
|
Face Detection (Q)
|
97% |
9167
109.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28020
215.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52509
404.6 IPS |
|
|
Depth Estimation (Q)
|
71% |
19186
159.4 IPS |
|
|
Style Transfer (SP)
|
100% |
109223
140.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245786
316.0 IPS |
|
|
Style Transfer (Q)
|
98% |
89849
115.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17433
643.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25617
945.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12051
446.2 IPS |
|
|
Text Classification (SP)
|
100% |
1662
2.22 KIPS |
|
|
Text Classification (HP)
|
99% |
2329
3.11 KIPS |
|
|
Text Classification (Q)
|
97% |
868
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2122
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2203
38.0 IPS |
|
|
Machine Translation (Q)
|
60% |
916
20.4 IPS |
