QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
26521
Single Precision Score
41573
Half Precision Score
15689
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | March 27 2026 11:22 AM |
| Views | 9 |
| Notes | Lenovo P8 Proxmox VM + 3090 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 9965WX |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 26 Model 8 Stepping 1 |
| Base Frequency | 4.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9963
1.85 KIPS |
|
|
Image Classification (HP)
|
99% |
15016
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
6669
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19115
309.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28732
465.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13097
213.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
175751
205.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
376064
438.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
130123
152.5 IPS |
|
|
Object Detection (SP)
|
100% |
13009
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
20056
1.59 KIPS |
|
|
Object Detection (Q)
|
85% |
8639
694.9 IPS |
|
|
Face Detection (SP)
|
100% |
37050
440.2 IPS |
|
|
Face Detection (HP)
|
100% |
55059
654.2 IPS |
|
|
Face Detection (Q)
|
97% |
23388
278.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
64721
498.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
115196
887.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
37981
304.2 IPS |
|
|
Style Transfer (SP)
|
100% |
272109
349.8 IPS |
|
|
Style Transfer (HP)
|
100% |
667965
858.7 IPS |
|
|
Style Transfer (Q)
|
98% |
195743
252.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40161
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59363
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22299
825.7 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1453
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5142
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5059
87.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1634
30.6 IPS |
