FUJITSU CLIENT COMPUTING LIMITED FMVCZSK1EA
Geekbench AI Score
1862
Single Precision Score
6317
Half Precision Score
9916
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | February 06 2025 11:22 AM |
| Views | 4 |
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% |
1062
197.4 IPS |
|
|
Image Classification (HP)
|
100% |
4971
924.4 IPS |
|
|
Image Classification (Q)
|
100% |
6997
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2534
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1577
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
23642
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
51726
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (HP)
|
100% |
3591
284.9 IPS |
|
|
Object Detection (Q)
|
89% |
6175
494.6 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
9898
117.6 IPS |
|
|
Face Detection (Q)
|
100% |
20133
239.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3048
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13223
101.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
25364
197.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6743
8.67 IPS |
|
|
Style Transfer (HP)
|
100% |
42560
54.7 IPS |
|
|
Style Transfer (Q)
|
98% |
76802
99.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10782
398.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17345
642.4 IPS |
|
|
Text Classification (SP)
|
100% |
1255
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1067
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1672
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2236
38.5 IPS |
