FUJITSU FMVD45001
Geekbench AI Score
2106
Single Precision Score
891
Half Precision Score
2668
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 04:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | FUJITSU FMVD45001 |
| Motherboard | FUJITSU D3623-Ax |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.4 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
96% |
1174
219.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
893
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
518
8.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
3687
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3771
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2724
3.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
4390
5.19 IPS |
|
|
Object Detection (SP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
58% |
1245
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (Q)
|
96% |
3637
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4363
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1164
8.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
6421
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8630
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7343
9.44 IPS |
|
|
Style Transfer (Q)
|
87% |
10139
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2650
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
1256
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
579
772.3 IPS |
|
|
Text Classification (Q)
|
97% |
920
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
68% |
1343
26.0 IPS |
