FUJITSU CLIENT COMPUTING LIMITED FMVCZSK1EA
Geekbench AI Score
1454
Single Precision Score
5070
Half Precision Score
7530
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | February 02 2025 09:59 AM |
| 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% |
1000
186.0 IPS |
|
|
Image Classification (HP)
|
100% |
3616
672.4 IPS |
|
|
Image Classification (Q)
|
100% |
4692
872.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1712
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2207
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1978
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
25945
30.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
51944
60.8 IPS |
|
|
Object Detection (SP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (HP)
|
100% |
2804
222.4 IPS |
|
|
Object Detection (Q)
|
89% |
4419
353.9 IPS |
|
|
Face Detection (SP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
8787
104.4 IPS |
|
|
Face Detection (Q)
|
100% |
11967
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2864
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13267
102.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
24352
189.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5713
7.34 IPS |
|
|
Style Transfer (HP)
|
100% |
35308
45.4 IPS |
|
|
Style Transfer (Q)
|
98% |
62773
80.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1323
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8542
315.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12761
472.6 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
656
875.8 IPS |
|
|
Text Classification (Q)
|
92% |
695
933.7 IPS |
|
|
Machine Translation (SP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1521
26.2 IPS |
