To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
7989
Single Precision Score
12275
Half Precision Score
5821
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | 46fy45 |
| Upload Date | November 20 2024 04:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| 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% |
3298
613.3 IPS |
|
|
Image Classification (HP)
|
99% |
4976
928.1 IPS |
|
|
Image Classification (Q)
|
100% |
2695
501.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3851
62.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4790
77.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3422
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
49151
57.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
126043
147.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
40891
47.9 IPS |
|
|
Object Detection (SP)
|
100% |
4184
331.9 IPS |
|
|
Object Detection (HP)
|
100% |
6361
504.5 IPS |
|
|
Object Detection (Q)
|
90% |
3162
252.9 IPS |
|
|
Face Detection (SP)
|
100% |
7791
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
10744
127.7 IPS |
|
|
Face Detection (Q)
|
97% |
6409
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22952
176.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
42147
325.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
16255
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
82920
106.6 IPS |
|
|
Style Transfer (HP)
|
100% |
189312
243.4 IPS |
|
|
Style Transfer (Q)
|
98% |
66904
86.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14573
538.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21806
805.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9067
335.7 IPS |
|
|
Text Classification (SP)
|
100% |
1483
1.98 KIPS |
|
|
Text Classification (HP)
|
99% |
1707
2.28 KIPS |
|
|
Text Classification (Q)
|
97% |
890
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (Q)
|
60% |
667
14.9 IPS |
