QEMU Standard PC (i440FX + PIIX, 1996)
Geekbench AI Score
894
Single Precision Score
899
Half Precision Score
575
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | dpedersen13 |
| Upload Date | May 01 2025 11:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-7700K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | QEMU Standard PC (i440FX + PIIX, 1996) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 21.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
549
102.1 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (Q)
|
99% |
321
59.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
482
7.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
1438
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1457
1.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
1297
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (HP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (Q)
|
85% |
323
26.0 IPS |
|
|
Face Detection (SP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1098
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
866
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1135
8.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
1023
7.88 IPS |
|
|
Depth Estimation (Q)
|
63% |
788
7.39 IPS |
|
|
Style Transfer (SP)
|
100% |
1842
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1842
2.37 IPS |
|
|
Style Transfer (Q)
|
98% |
2636
3.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
624
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
671
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
520
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
261
350.4 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
58% |
253
5.95 IPS |
