QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
24943
Single Precision Score
37641
Half Precision Score
15099
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | January 25 2026 03:46 PM |
| Views | 9 |
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% |
9030
1.68 KIPS |
|
|
Image Classification (HP)
|
99% |
12885
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
6280
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18942
307.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28172
456.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13044
212.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
172574
201.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
364110
424.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
129771
152.0 IPS |
|
|
Object Detection (SP)
|
100% |
12439
986.7 IPS |
|
|
Object Detection (HP)
|
100% |
17713
1.40 KIPS |
|
|
Object Detection (Q)
|
85% |
8353
672.0 IPS |
|
|
Face Detection (SP)
|
100% |
36700
436.1 IPS |
|
|
Face Detection (HP)
|
100% |
52151
619.7 IPS |
|
|
Face Detection (Q)
|
97% |
23243
277.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
63360
488.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
107126
825.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
37118
297.3 IPS |
|
|
Style Transfer (SP)
|
100% |
268023
344.5 IPS |
|
|
Style Transfer (HP)
|
100% |
634584
815.8 IPS |
|
|
Style Transfer (Q)
|
98% |
192171
247.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35963
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50584
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20682
765.8 IPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1262
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4757
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4719
81.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1603
30.1 IPS |
