To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
996
Single Precision Score
521
Half Precision Score
1013
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | 46fy45 |
| Upload Date | November 20 2024 04:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2696 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | X79 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
576
107.0 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.8 IPS |
|
|
Image Classification (Q)
|
96% |
911
170.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1657
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1382
1.61 IPS |
|
|
Pose Estimation (Q)
|
87% |
2609
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
90% |
629
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (Q)
|
96% |
1373
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1951
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
763
5.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
1743
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4181
5.37 IPS |
|
|
Style Transfer (HP)
|
100% |
3674
4.72 IPS |
|
|
Style Transfer (Q)
|
87% |
4696
6.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
685
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
988
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
554
739.5 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.9 IPS |
|
|
Text Classification (Q)
|
97% |
231
310.0 IPS |
|
|
Machine Translation (SP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
60% |
410
9.16 IPS |
