To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
8771
Single Precision Score
13536
Half Precision Score
6409
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | 46fy45 |
| Upload Date | November 24 2024 01:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| 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% |
3624
673.9 IPS |
|
|
Image Classification (HP)
|
100% |
5379
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
2866
532.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4479
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5113
82.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3961
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
54595
63.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
160897
187.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
45034
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
4679
371.2 IPS |
|
|
Object Detection (HP)
|
100% |
6940
550.5 IPS |
|
|
Object Detection (Q)
|
90% |
3558
284.5 IPS |
|
|
Face Detection (SP)
|
100% |
9154
108.8 IPS |
|
|
Face Detection (HP)
|
100% |
12310
146.3 IPS |
|
|
Face Detection (Q)
|
97% |
7503
89.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27577
212.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46445
357.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
19069
153.0 IPS |
|
|
Style Transfer (SP)
|
100% |
98282
126.3 IPS |
|
|
Style Transfer (HP)
|
100% |
221200
284.4 IPS |
|
|
Style Transfer (Q)
|
98% |
80974
104.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14842
548.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22484
830.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9913
367.1 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
99% |
1782
2.38 KIPS |
|
|
Text Classification (Q)
|
97% |
786
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (Q)
|
60% |
713
15.9 IPS |
