FUJITSU CLIENT COMPUTING LIMITED FMVCZSK1EA
Geekbench AI Score
3624
Single Precision Score
5600
Half Precision Score
7688
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | February 02 2025 09:34 AM |
| Views | 8 |
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% |
3120
580.3 IPS |
|
|
Image Classification (HP)
|
100% |
3982
740.5 IPS |
|
|
Image Classification (Q)
|
100% |
5136
955.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6148
99.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7680
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9993
11.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
8866
10.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
27042
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2614
207.4 IPS |
|
|
Object Detection (HP)
|
100% |
3866
306.6 IPS |
|
|
Object Detection (Q)
|
88% |
5988
479.9 IPS |
|
|
Face Detection (SP)
|
100% |
6337
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
11308
134.4 IPS |
|
|
Face Detection (Q)
|
100% |
15961
189.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6670
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
16557
128.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
19185
149.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21804
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25101
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
42928
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6699
247.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9988
369.9 IPS |
|
|
Text Classification (SP)
|
71% |
821
1.19 KIPS |
|
|
Text Classification (HP)
|
71% |
1322
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
1029
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
96% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
100% |
836
14.4 IPS |
