QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
21812
Single Precision Score
33570
Half Precision Score
13617
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 03:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 LTSC (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8885
1.65 KIPS |
|
|
Image Classification (HP)
|
99% |
12551
2.34 KIPS |
|
|
Image Classification (Q)
|
100% |
5989
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15078
244.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21309
345.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11246
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
117472
137.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
319293
372.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
94673
110.9 IPS |
|
|
Object Detection (SP)
|
100% |
10965
869.8 IPS |
|
|
Object Detection (HP)
|
100% |
16120
1.28 KIPS |
|
|
Object Detection (Q)
|
85% |
7703
619.6 IPS |
|
|
Face Detection (SP)
|
100% |
29765
353.7 IPS |
|
|
Face Detection (HP)
|
100% |
42636
506.6 IPS |
|
|
Face Detection (Q)
|
97% |
20662
246.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
52999
408.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
92684
714.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
33483
267.7 IPS |
|
|
Style Transfer (SP)
|
100% |
226438
291.1 IPS |
|
|
Style Transfer (HP)
|
100% |
536923
690.2 IPS |
|
|
Style Transfer (Q)
|
98% |
166269
214.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33920
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42791
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19454
720.4 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3509
4.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1348
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4187
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4145
71.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1480
27.8 IPS |
