FUJITSU CLIENT COMPUTING LIMITED FMVCZSK1EA
Geekbench AI Score
3319
Single Precision Score
6267
Half Precision Score
9027
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | February 06 2025 11:17 AM |
| Views | 5 |
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% |
2835
527.2 IPS |
|
|
Image Classification (HP)
|
100% |
4286
797.1 IPS |
|
|
Image Classification (Q)
|
100% |
5878
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6348
102.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8329
135.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6980
8.14 IPS |
|
|
Pose Estimation (HP)
|
99% |
8637
10.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
26032
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
2202
174.7 IPS |
|
|
Object Detection (HP)
|
100% |
3709
294.2 IPS |
|
|
Object Detection (Q)
|
88% |
6363
509.9 IPS |
|
|
Face Detection (SP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
10007
118.9 IPS |
|
|
Face Detection (Q)
|
100% |
16210
192.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5068
39.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
15310
118.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
16014
124.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19168
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27003
34.7 IPS |
|
|
Style Transfer (Q)
|
98% |
44816
57.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4309
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7256
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11959
442.9 IPS |
|
|
Text Classification (SP)
|
71% |
1005
1.45 KIPS |
|
|
Text Classification (HP)
|
71% |
1891
2.74 KIPS |
|
|
Text Classification (Q)
|
92% |
1745
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1889
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1826
31.5 IPS |
