FUJITSU ESPRIMO Q920
Geekbench AI Score
1231
Single Precision Score
625
Half Precision Score
1224
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sharg |
| Upload Date | November 05 2025 11:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4590T |
| 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% |
903
167.9 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.7 IPS |
|
|
Image Classification (Q)
|
96% |
959
179.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
916
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2031
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1635
1.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
2174
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
883
70.0 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
58% |
678
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
633
7.52 IPS |
|
|
Face Detection (Q)
|
96% |
2153
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2450
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
892
6.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
2417
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4501
5.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3693
4.75 IPS |
|
|
Style Transfer (Q)
|
87% |
4327
5.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1125
41.7 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
395
527.1 IPS |
|
|
Text Classification (Q)
|
97% |
257
344.6 IPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.90 IPS |
|
|
Machine Translation (Q)
|
68% |
897
17.3 IPS |
