QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
23282
Single Precision Score
33171
Half Precision Score
18986
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mikeclueby4 |
| Upload Date | June 27 2025 04:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 15.62 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7571
1.41 KIPS |
|
|
Image Classification (HP)
|
99% |
9262
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
6964
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20071
325.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
27112
439.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18509
301.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
163630
190.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
397160
463.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
145846
170.9 IPS |
|
|
Object Detection (SP)
|
100% |
11308
897.0 IPS |
|
|
Object Detection (HP)
|
100% |
16369
1.30 KIPS |
|
|
Object Detection (Q)
|
85% |
9972
802.7 IPS |
|
|
Face Detection (SP)
|
100% |
37980
451.3 IPS |
|
|
Face Detection (HP)
|
100% |
49869
592.6 IPS |
|
|
Face Detection (Q)
|
97% |
32790
391.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
59379
457.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98733
762.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
48186
385.2 IPS |
|
|
Style Transfer (SP)
|
100% |
274451
352.8 IPS |
|
|
Style Transfer (HP)
|
100% |
590610
759.2 IPS |
|
|
Style Transfer (Q)
|
98% |
247555
319.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34304
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39620
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26937
997.4 IPS |
|
|
Text Classification (SP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (HP)
|
99% |
1755
2.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1241
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4985
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4887
84.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2483
46.6 IPS |
