QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
10459
Single Precision Score
16440
Half Precision Score
7870
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 17 2026 04:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 15.62 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3872
720.1 IPS |
|
|
Image Classification (HP)
|
99% |
5274
983.6 IPS |
|
|
Image Classification (Q)
|
99% |
3267
609.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7698
124.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10752
174.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6611
107.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
68100
79.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
166655
194.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
56285
65.9 IPS |
|
|
Object Detection (SP)
|
100% |
5495
435.8 IPS |
|
|
Object Detection (HP)
|
100% |
8458
670.9 IPS |
|
|
Object Detection (Q)
|
84% |
4164
335.9 IPS |
|
|
Face Detection (SP)
|
100% |
12848
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
20521
243.8 IPS |
|
|
Face Detection (Q)
|
97% |
9741
116.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
29178
224.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
52096
402.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
21461
171.8 IPS |
|
|
Style Transfer (SP)
|
100% |
106727
137.2 IPS |
|
|
Style Transfer (HP)
|
100% |
238751
306.9 IPS |
|
|
Style Transfer (Q)
|
98% |
88665
114.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15578
575.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22696
838.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10808
400.2 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1294
1.73 KIPS |
|
|
Text Classification (Q)
|
97% |
769
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2408
41.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1170
22.0 IPS |
