QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
11700
Single Precision Score
18079
Half Precision Score
8428
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViolentSocks |
| Upload Date | January 06 2025 03:53 AM |
| Views | 7 |
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% |
4748
883.0 IPS |
|
|
Image Classification (HP)
|
99% |
7036
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
3849
715.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6688
108.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8801
142.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5683
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
69471
81.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
164915
192.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
57718
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
6013
476.9 IPS |
|
|
Object Detection (HP)
|
100% |
9254
734.1 IPS |
|
|
Object Detection (Q)
|
84% |
4880
393.6 IPS |
|
|
Face Detection (SP)
|
100% |
13480
160.2 IPS |
|
|
Face Detection (HP)
|
100% |
19063
226.5 IPS |
|
|
Face Detection (Q)
|
97% |
11200
133.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30453
234.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52735
407.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
21650
173.0 IPS |
|
|
Style Transfer (SP)
|
100% |
111333
143.1 IPS |
|
|
Style Transfer (HP)
|
100% |
260804
335.3 IPS |
|
|
Style Transfer (Q)
|
98% |
91673
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18475
682.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28758
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12554
464.9 IPS |
|
|
Text Classification (SP)
|
100% |
1989
2.65 KIPS |
|
|
Text Classification (HP)
|
99% |
2378
3.17 KIPS |
|
|
Text Classification (Q)
|
97% |
954
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2158
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2202
37.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1103
20.7 IPS |
