FUJITSU CLIENT COMPUTING LIMITED FMVCZSK1EA
Geekbench AI Score
1908
Single Precision Score
1930
Half Precision Score
4932
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | February 06 2025 11:51 AM |
| Views | 6 |
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% |
1213
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
1232
229.2 IPS |
|
|
Image Classification (Q)
|
100% |
3465
644.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3400
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1615
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1641
1.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
7238
8.48 IPS |
|
|
Object Detection (SP)
|
100% |
1072
85.0 IPS |
|
|
Object Detection (HP)
|
100% |
1036
82.2 IPS |
|
|
Object Detection (Q)
|
88% |
3409
273.2 IPS |
|
|
Face Detection (SP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (Q)
|
100% |
7206
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3129
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3245
25.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
7875
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6618
8.51 IPS |
|
|
Style Transfer (HP)
|
100% |
6800
8.74 IPS |
|
|
Style Transfer (Q)
|
98% |
25014
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1402
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5686
210.6 IPS |
|
|
Text Classification (SP)
|
100% |
1319
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2464
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1476
25.4 IPS |
