FUJITSU FMVD45001
Geekbench AI Score
6104
Single Precision Score
10892
Half Precision Score
11966
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 04:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A380 Graphics (dGPU) |
| 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% |
3278
609.6 IPS |
|
|
Image Classification (HP)
|
100% |
5220
970.8 IPS |
|
|
Image Classification (Q)
|
100% |
5423
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5496
89.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8649
140.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10040
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20536
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
76822
89.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
133403
156.2 IPS |
|
|
Object Detection (SP)
|
100% |
2947
233.7 IPS |
|
|
Object Detection (HP)
|
100% |
5915
469.2 IPS |
|
|
Object Detection (Q)
|
88% |
6132
491.4 IPS |
|
|
Face Detection (SP)
|
100% |
9684
115.1 IPS |
|
|
Face Detection (HP)
|
100% |
15890
188.8 IPS |
|
|
Face Detection (Q)
|
100% |
17303
205.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15208
117.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
30147
232.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
32749
254.6 IPS |
|
|
Style Transfer (SP)
|
100% |
53329
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
114486
147.2 IPS |
|
|
Style Transfer (Q)
|
98% |
162193
209.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7227
266.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13675
505.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14332
530.8 IPS |
|
|
Text Classification (SP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
970
1.30 KIPS |
|
|
Text Classification (Q)
|
92% |
655
880.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1575
27.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1567
27.0 IPS |
