QEMU Standard PC (i440FX + PIIX, 1996)
Geekbench AI Score
550
Single Precision Score
552
Half Precision Score
421
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | April 07 2025 07:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 6766E |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | QEMU Standard PC (i440FX + PIIX, 1996) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) 6766E |
| Topology | 2 Processors, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 175 Stepping 3 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
431
80.1 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.8 IPS |
|
|
Image Classification (Q)
|
99% |
313
58.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
555
8.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
337
5.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
600
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
593
0.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
778
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.6 IPS |
|
|
Object Detection (Q)
|
85% |
263
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (Q)
|
97% |
702
8.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
609
4.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
602
4.64 IPS |
|
|
Depth Estimation (Q)
|
63% |
540
5.06 IPS |
|
|
Style Transfer (SP)
|
100% |
893
1.15 IPS |
|
|
Style Transfer (HP)
|
100% |
839
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
1427
1.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
405
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
419
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
457
609.6 IPS |
|
|
Text Classification (HP)
|
100% |
470
627.0 IPS |
|
|
Text Classification (Q)
|
92% |
221
297.3 IPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
58% |
164
3.85 IPS |
