QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
36140
Single Precision Score
50470
Half Precision Score
27963
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | January 24 2026 03:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 Ultra 7 265K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.88 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11284
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
13533
2.52 KIPS |
|
|
Image Classification (Q)
|
100% |
10174
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30140
488.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
36671
594.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
27978
454.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
357646
417.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
824788
962.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
289086
338.6 IPS |
|
|
Object Detection (SP)
|
100% |
17639
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
21258
1.69 KIPS |
|
|
Object Detection (Q)
|
85% |
14715
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
59470
706.6 IPS |
|
|
Face Detection (HP)
|
100% |
74601
886.4 IPS |
|
|
Face Detection (Q)
|
97% |
48437
577.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
89567
690.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
146635
1.13 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66931
536.1 IPS |
|
|
Style Transfer (SP)
|
100% |
508049
653.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1260041
1.62 KIPS |
|
|
Style Transfer (Q)
|
98% |
428952
553.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51651
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64627
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39277
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2506
3.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1628
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5604
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5521
95.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2715
50.9 IPS |
