FUJITSU CLIENT COMPUTING LIMITED FMVA6401RP
Geekbench AI Score
1151
Single Precision Score
566
Half Precision Score
1736
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 06:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8265U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVA6401RP |
| Motherboard | FUJITSU FJNB2CE |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
944
175.6 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
96% |
1480
276.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
1086
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1587
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1224
1.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
3007
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
58% |
1093
119.4 IPS |
|
|
Face Detection (SP)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
543
6.45 IPS |
|
|
Face Detection (Q)
|
96% |
2746
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2306
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
754
5.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
3284
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4239
5.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3162
4.06 IPS |
|
|
Style Transfer (Q)
|
87% |
5080
6.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
906
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
727
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1211
44.9 IPS |
|
|
Text Classification (SP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
453
604.2 IPS |
|
|
Text Classification (Q)
|
97% |
800
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1065
20.6 IPS |
