FUJITSU ESPRIMO Q920
Geekbench AI Score
723
Single Precision Score
725
Half Precision Score
448
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | sharg |
| Upload Date | November 09 2025 11:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-4590T |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | FUJITSU ESPRIMO Q920 |
| Motherboard | FUJITSU D3233-A1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4590T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (Q)
|
99% |
293
54.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
330
5.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
884
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
885
1.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
748
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
529
41.9 IPS |
|
|
Object Detection (HP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (Q)
|
85% |
323
26.0 IPS |
|
|
Face Detection (SP)
|
100% |
880
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
883
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
700
8.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
867
6.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
819
6.31 IPS |
|
|
Depth Estimation (Q)
|
63% |
583
5.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1122
1.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1173
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1566
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
404
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
721
962.0 IPS |
|
|
Text Classification (HP)
|
100% |
726
968.9 IPS |
|
|
Text Classification (Q)
|
92% |
241
323.2 IPS |
|
|
Machine Translation (SP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
58% |
226
5.30 IPS |
