Amazon EC2 g4dn.xlarge
Geekbench AI Score
8430
Single Precision Score
13629
Half Precision Score
6146
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | moojok |
| Upload Date | December 01 2024 12:08 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Tesla T4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Datacenter (64-bit) |
| Model | Amazon EC2 g4dn.xlarge |
| Motherboard | Amazon EC2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4012
746.1 IPS |
|
|
Image Classification (HP)
|
100% |
6101
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
3169
589.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4226
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3764
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46431
54.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
136065
158.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
39229
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
4618
366.3 IPS |
|
|
Object Detection (HP)
|
100% |
7239
574.2 IPS |
|
|
Object Detection (Q)
|
89% |
3515
281.3 IPS |
|
|
Face Detection (SP)
|
100% |
9039
107.4 IPS |
|
|
Face Detection (HP)
|
100% |
12893
153.2 IPS |
|
|
Face Detection (Q)
|
97% |
7054
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22270
171.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
44297
341.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
16165
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
83330
107.1 IPS |
|
|
Style Transfer (HP)
|
100% |
194945
250.6 IPS |
|
|
Style Transfer (Q)
|
98% |
69046
89.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16579
612.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24743
913.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10325
382.3 IPS |
|
|
Text Classification (SP)
|
100% |
1142
1.52 KIPS |
|
|
Text Classification (HP)
|
99% |
1707
2.28 KIPS |
|
|
Text Classification (Q)
|
97% |
772
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1570
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (Q)
|
60% |
746
16.6 IPS |
