FUJITSU FMVD45001
Geekbench AI Score
3017
Single Precision Score
3068
Half Precision Score
4547
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 04:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz |
| 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% |
2110
392.3 IPS |
|
|
Image Classification (HP)
|
100% |
2282
424.3 IPS |
|
|
Image Classification (Q)
|
100% |
3734
694.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4210
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4775
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4757
5.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
8013
9.40 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (Q)
|
87% |
2008
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
2098
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2631
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
7259
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5299
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5815
44.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
10046
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13107
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12109
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25323
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2772
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2950
108.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5616
208.0 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (Q)
|
91% |
510
686.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2699
46.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2830
48.8 IPS |
