FUJITSU CLIENT COMPUTING LIMITED FMVCZSK1EA
Geekbench AI Score
1316
Single Precision Score
1488
Half Precision Score
2803
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | February 02 2025 09:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 134U |
| 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% |
1097
204.0 IPS |
|
|
Image Classification (HP)
|
100% |
1114
207.1 IPS |
|
|
Image Classification (Q)
|
100% |
1959
364.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1089
17.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1137
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1939
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2498
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
9229
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
88% |
1045
83.7 IPS |
|
|
Face Detection (SP)
|
100% |
1642
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
4155
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3062
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2751
21.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
5185
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6344
8.16 IPS |
|
|
Style Transfer (HP)
|
100% |
5922
7.61 IPS |
|
|
Style Transfer (Q)
|
98% |
15916
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
688
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3265
120.9 IPS |
|
|
Text Classification (SP)
|
100% |
727
970.9 IPS |
|
|
Text Classification (HP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (Q)
|
92% |
1420
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
100% |
877
15.1 IPS |
