QEMU Standard PC (i440FX + PIIX, 1996)
Geekbench AI Score
1808
Single Precision Score
745
Half Precision Score
1863
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Maditgeek |
| Upload Date | January 24 2025 01:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7302 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2019 Standard (64-bit) |
| Model | QEMU Standard PC (i440FX + PIIX, 1996) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7302 |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.06 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.3 IPS |
|
|
Image Classification (Q)
|
96% |
1976
369.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
1067
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4746
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3244
3.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
4535
5.36 IPS |
|
|
Object Detection (SP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
58% |
1236
135.1 IPS |
|
|
Face Detection (SP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
761
9.05 IPS |
|
|
Face Detection (Q)
|
96% |
4018
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4597
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1223
9.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
4194
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9056
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7365
9.47 IPS |
|
|
Style Transfer (Q)
|
87% |
9134
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
978
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
682
909.8 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.5 IPS |
|
|
Text Classification (Q)
|
97% |
242
323.6 IPS |
|
|
Machine Translation (SP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
68% |
1172
22.6 IPS |
