QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
11968
Single Precision Score
18927
Half Precision Score
8687
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViolentSocks |
| Upload Date | January 15 2025 06:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | QEMU Virtual CPU version 2.5+ |
| Topology | 2 Processors, 4 Cores |
| Identifier | GenuineIntel Family 15 Model 107 Stepping 1 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4927
916.2 IPS |
|
|
Image Classification (HP)
|
99% |
7397
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
3992
742.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6807
110.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8971
145.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5835
94.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
70197
81.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
172225
201.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
58481
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
6156
488.3 IPS |
|
|
Object Detection (HP)
|
100% |
9789
776.5 IPS |
|
|
Object Detection (Q)
|
84% |
5050
407.3 IPS |
|
|
Face Detection (SP)
|
100% |
13653
162.2 IPS |
|
|
Face Detection (HP)
|
100% |
19676
233.8 IPS |
|
|
Face Detection (Q)
|
97% |
11244
134.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
32034
246.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57451
443.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
22721
181.5 IPS |
|
|
Style Transfer (SP)
|
100% |
114624
147.4 IPS |
|
|
Style Transfer (HP)
|
100% |
274956
353.5 IPS |
|
|
Style Transfer (Q)
|
98% |
92155
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18373
678.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28248
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12729
471.4 IPS |
|
|
Text Classification (SP)
|
100% |
2010
2.68 KIPS |
|
|
Text Classification (HP)
|
99% |
2672
3.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1054
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1127
21.1 IPS |
