FUJITSU CLIENT COMPUTING LIMITED FMVCZSK1EA
Geekbench AI Score
1976
Single Precision Score
6617
Half Precision Score
10196
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | February 02 2025 01:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVCZSK1EA |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB315 |
| Power Plan | Fujitsu() |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 134U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1118
208.0 IPS |
|
|
Image Classification (HP)
|
100% |
4847
901.4 IPS |
|
|
Image Classification (Q)
|
100% |
6658
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2780
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2471
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
28326
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
59601
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
1059
84.0 IPS |
|
|
Object Detection (HP)
|
100% |
3883
308.0 IPS |
|
|
Object Detection (Q)
|
89% |
6756
541.1 IPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
10025
119.1 IPS |
|
|
Face Detection (Q)
|
100% |
20944
248.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3154
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14252
109.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
28062
218.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7384
9.49 IPS |
|
|
Style Transfer (HP)
|
100% |
42984
55.3 IPS |
|
|
Style Transfer (Q)
|
98% |
74645
96.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10698
395.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17166
635.7 IPS |
|
|
Text Classification (SP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (Q)
|
92% |
984
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1735
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2200
37.9 IPS |
