FUJITSU ESPRIMO Q920
Geekbench AI Score
1576
Single Precision Score
1567
Half Precision Score
1679
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sharg |
| Upload Date | November 05 2025 11:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4590T CPU @ 2.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | FUJITSU ESPRIMO Q920 |
| Motherboard | FUJITSU D3233-A1 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4590T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (HP)
|
100% |
928
172.5 IPS |
|
|
Image Classification (Q)
|
100% |
1089
202.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
904
14.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1244
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2078
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2084
2.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
2321
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (HP)
|
100% |
930
73.8 IPS |
|
|
Object Detection (Q)
|
87% |
1100
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
1838
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
3050
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2423
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2469
19.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
2827
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5667
7.29 IPS |
|
|
Style Transfer (HP)
|
100% |
5296
6.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6623
8.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1217
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1399
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
1219
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (Q)
|
91% |
436
585.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1478
25.5 IPS |
