ROMED8-2T
Geekbench AI Score
19101
Single Precision Score
26235
Half Precision Score
12684
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xilvar |
| Upload Date | December 21 2024 08:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ROMED8-2T |
| Motherboard | ASRockRack ROMED8-2T |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7F52 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7825
1.46 KIPS |
|
|
Image Classification (HP)
|
99% |
10221
1.91 KIPS |
|
|
Image Classification (Q)
|
100% |
5617
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9788
158.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11404
184.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7615
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
168720
196.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
317250
370.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
127163
149.0 IPS |
|
|
Object Detection (SP)
|
100% |
9462
750.6 IPS |
|
|
Object Detection (HP)
|
100% |
12128
962.0 IPS |
|
|
Object Detection (Q)
|
85% |
6711
539.8 IPS |
|
|
Face Detection (SP)
|
100% |
25654
304.8 IPS |
|
|
Face Detection (HP)
|
100% |
32478
385.9 IPS |
|
|
Face Detection (Q)
|
97% |
18153
216.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
54677
421.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
91057
701.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
33932
271.7 IPS |
|
|
Style Transfer (SP)
|
100% |
246960
317.5 IPS |
|
|
Style Transfer (HP)
|
100% |
506695
651.4 IPS |
|
|
Style Transfer (Q)
|
98% |
179478
231.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30499
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39104
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18726
693.4 IPS |
|
|
Text Classification (SP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
2591
3.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1230
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2290
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1160
21.8 IPS |
