QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
3029
Single Precision Score
3011
Half Precision Score
2423
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | albzn |
| Upload Date | December 13 2025 02:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Processor (Haswell, no TSX, IBRS) |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 1 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
694
129.0 IPS |
|
|
Image Classification (HP)
|
100% |
1184
220.1 IPS |
|
|
Image Classification (Q)
|
99% |
656
122.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1609
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19747
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11080
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16578
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (HP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (Q)
|
83% |
955
77.2 IPS |
|
|
Face Detection (SP)
|
100% |
2121
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (Q)
|
97% |
1816
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7213
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6602
51.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
5836
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33939
43.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20341
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26960
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6291
232.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4339
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1172
1.56 KIPS |
|
|
Text Classification (Q)
|
97% |
606
811.6 IPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
96% |
843
14.6 IPS |
|
|
Machine Translation (Q)
|
70% |
557
10.4 IPS |
