QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
44932
Single Precision Score
66027
Half Precision Score
33633
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Wint3rmu7e |
| Upload Date | October 27 2025 11:49 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 9 9950X |
| Topology | 1 Processor, 32 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.29 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14640
2.72 KIPS |
|
|
Image Classification (HP)
|
100% |
18155
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
12787
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38678
627.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
50129
812.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
35599
578.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
394876
460.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
943689
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
319389
374.1 IPS |
|
|
Object Detection (SP)
|
100% |
22980
1.82 KIPS |
|
|
Object Detection (HP)
|
100% |
29216
2.32 KIPS |
|
|
Object Detection (Q)
|
85% |
18958
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
74161
881.2 IPS |
|
|
Face Detection (HP)
|
100% |
101777
1.21 KIPS |
|
|
Face Detection (Q)
|
97% |
59590
710.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
102041
786.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
178182
1.37 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73183
586.2 IPS |
|
|
Style Transfer (SP)
|
100% |
586682
754.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1597722
2.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
494915
638.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64625
2.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82973
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47832
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2024
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
7440
128.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7457
128.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3216
60.3 IPS |
