FUJITSU CLIENT COMPUTING LIMITED FMVCZSK1EA
Geekbench AI Score
2177
Single Precision Score
6812
Half Precision Score
10502
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | February 06 2025 12:19 PM |
| Views | 6 |
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% |
1244
231.3 IPS |
|
|
Image Classification (HP)
|
100% |
4955
921.6 IPS |
|
|
Image Classification (Q)
|
100% |
6883
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2858
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2749
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
28929
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
60373
70.7 IPS |
|
|
Object Detection (SP)
|
100% |
1212
96.1 IPS |
|
|
Object Detection (HP)
|
100% |
3988
316.3 IPS |
|
|
Object Detection (Q)
|
89% |
7075
566.6 IPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
10780
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
21350
253.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3535
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14533
112.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
28531
222.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8115
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
44115
56.7 IPS |
|
|
Style Transfer (Q)
|
98% |
76702
98.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10806
399.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17454
646.4 IPS |
|
|
Text Classification (SP)
|
100% |
1328
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1030
1.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1052
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2266
39.0 IPS |
