FUJITSU FMVD45001
Geekbench AI Score
5694
Single Precision Score
6235
Half Precision Score
4183
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 04:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A380 Graphics |
| 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% |
3306
614.8 IPS |
|
|
Image Classification (HP)
|
100% |
3703
688.7 IPS |
|
|
Image Classification (Q)
|
99% |
2801
522.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5096
82.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2399
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19146
22.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
20352
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15821
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3788
300.4 IPS |
|
|
Object Detection (HP)
|
99% |
4156
330.6 IPS |
|
|
Object Detection (Q)
|
85% |
3255
261.9 IPS |
|
|
Face Detection (SP)
|
100% |
6730
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
6324
75.1 IPS |
|
|
Face Detection (Q)
|
97% |
4873
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14823
114.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
17226
133.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
11200
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
50672
65.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52499
67.5 IPS |
|
|
Style Transfer (Q)
|
98% |
35366
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7755
286.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11172
412.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5076
187.9 IPS |
|
|
Text Classification (SP)
|
86% |
727
982.7 IPS |
|
|
Text Classification (HP)
|
100% |
551
735.7 IPS |
|
|
Text Classification (Q)
|
84% |
534
725.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (Q)
|
70% |
906
17.0 IPS |
