FUJITSU CLIENT COMPUTING LIMITED FMVCZSK1EA
Geekbench AI Score
4162
Single Precision Score
6793
Half Precision Score
10162
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | February 06 2025 12:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
2888
537.1 IPS |
|
|
Image Classification (HP)
|
100% |
4445
826.6 IPS |
|
|
Image Classification (Q)
|
100% |
6080
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6287
101.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8101
131.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10184
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
9035
10.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
29373
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.6 IPS |
|
|
Object Detection (HP)
|
100% |
4278
339.4 IPS |
|
|
Object Detection (Q)
|
88% |
6361
509.7 IPS |
|
|
Face Detection (SP)
|
100% |
5710
67.8 IPS |
|
|
Face Detection (HP)
|
100% |
11152
132.5 IPS |
|
|
Face Detection (Q)
|
100% |
17784
211.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9476
73.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
16828
130.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
19600
152.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23970
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33133
42.6 IPS |
|
|
Style Transfer (Q)
|
98% |
73107
94.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4180
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7477
276.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11848
438.8 IPS |
|
|
Text Classification (SP)
|
71% |
889
1.29 KIPS |
|
|
Text Classification (HP)
|
71% |
1983
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2068
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1477
25.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2103
36.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2044
35.2 IPS |
