QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
44500
Single Precision Score
67341
Half Precision Score
32427
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | March 27 2026 11:29 AM |
| Views | 9 |
| Notes | Lenovo P8 Proxmox Win11 VM |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 9965WX |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 26 Model 8 Stepping 1 |
| Base Frequency | 4.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15239
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
20290
3.77 KIPS |
|
|
Image Classification (Q)
|
100% |
13106
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35962
583.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
48464
785.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
32802
533.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
351249
409.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
888537
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
286493
335.6 IPS |
|
|
Object Detection (SP)
|
100% |
22880
1.81 KIPS |
|
|
Object Detection (HP)
|
100% |
30367
2.41 KIPS |
|
|
Object Detection (Q)
|
84% |
18718
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
73273
870.6 IPS |
|
|
Face Detection (HP)
|
100% |
96059
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
60802
725.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
108998
839.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
166186
1.28 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77950
624.3 IPS |
|
|
Style Transfer (SP)
|
100% |
524438
674.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1640825
2.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
469339
605.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64230
2.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87058
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45705
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4581
6.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1983
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
7057
121.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6920
119.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2766
51.9 IPS |
