BOCHS_ BXPC____
Geekbench AI Score
12678
Single Precision Score
18597
Half Precision Score
9215
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 01 2025 01:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | BOCHS_ BXPC____ |
| Motherboard | |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | QEMU Virtual CPU version 2.5+ |
| Topology | 2 Processors, 8 Cores |
| Identifier | GenuineIntel Family 15 Model 107 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4469
831.2 IPS |
|
|
Image Classification (HP)
|
99% |
5735
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
3603
670.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7704
124.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9537
154.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6571
106.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
91504
106.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
241485
281.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
73469
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
6479
514.0 IPS |
|
|
Object Detection (HP)
|
100% |
8667
687.5 IPS |
|
|
Object Detection (Q)
|
85% |
5122
412.4 IPS |
|
|
Face Detection (SP)
|
100% |
16317
193.9 IPS |
|
|
Face Detection (HP)
|
100% |
22243
264.3 IPS |
|
|
Face Detection (Q)
|
97% |
13319
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
39652
305.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
64002
493.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
27176
217.4 IPS |
|
|
Style Transfer (SP)
|
100% |
147141
189.2 IPS |
|
|
Style Transfer (HP)
|
100% |
327651
421.2 IPS |
|
|
Style Transfer (Q)
|
98% |
114398
147.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20348
751.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27295
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13454
498.2 IPS |
|
|
Text Classification (SP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (HP)
|
99% |
1394
1.86 KIPS |
|
|
Text Classification (Q)
|
97% |
771
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2433
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2436
42.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1154
21.7 IPS |
