Amazon EC2 g4dn.4xlarge
Geekbench AI Score
2665
Single Precision Score
763
Half Precision Score
3120
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mrosen |
| Upload Date | May 28 2025 12:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Datacenter (64-bit) |
| Model | Amazon EC2 g4dn.4xlarge |
| Motherboard | Amazon EC2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2646
492.0 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (Q)
|
99% |
4227
788.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1347
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6730
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4468
5.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
19824
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (Q)
|
86% |
3119
250.7 IPS |
|
|
Face Detection (SP)
|
100% |
4742
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (Q)
|
97% |
5040
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6901
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
967
7.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
8801
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10832
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8297
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
11832
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1258
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1655
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
685
914.1 IPS |
|
|
Text Classification (HP)
|
100% |
309
413.0 IPS |
|
|
Text Classification (Q)
|
97% |
206
276.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (Q)
|
65% |
1392
28.0 IPS |
