QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
34378
Single Precision Score
45910
Half Precision Score
26753
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 23 2025 12:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9115 16-Core Processor |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 26 Model 2 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11233
2.09 KIPS |
|
|
Image Classification (HP)
|
99% |
14102
2.63 KIPS |
|
|
Image Classification (Q)
|
100% |
10084
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24658
399.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
30934
501.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22332
363.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
302716
353.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
510070
595.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
263770
309.0 IPS |
|
|
Object Detection (SP)
|
100% |
17290
1.37 KIPS |
|
|
Object Detection (HP)
|
100% |
21916
1.74 KIPS |
|
|
Object Detection (Q)
|
86% |
14609
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
53045
630.3 IPS |
|
|
Face Detection (HP)
|
100% |
66723
792.8 IPS |
|
|
Face Detection (Q)
|
97% |
44807
534.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
87029
670.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
141600
1.09 KIPS |
|
|
Depth Estimation (Q)
|
77% |
65266
522.0 IPS |
|
|
Style Transfer (SP)
|
100% |
531490
683.2 IPS |
|
|
Style Transfer (HP)
|
100% |
971475
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
456866
589.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47031
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59252
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37359
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2566
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
2969
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1709
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5372
92.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2538
47.6 IPS |
