FUJITSU CLIENT COMPUTING LIMITED ULU-JR
Geekbench AI Score
2579
Single Precision Score
2579
Half Precision Score
6512
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 07:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED ULU-JR |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB314 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1908
354.8 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.8 IPS |
|
|
Image Classification (Q)
|
100% |
4952
920.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3830
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3030
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2611
3.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
10159
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (Q)
|
88% |
4537
363.7 IPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
11326
134.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3635
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3667
28.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11021
85.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7538
9.69 IPS |
|
|
Style Transfer (HP)
|
100% |
7658
9.84 IPS |
|
|
Style Transfer (Q)
|
98% |
26915
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6249
231.4 IPS |
|
|
Text Classification (SP)
|
100% |
1746
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3542
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2110
36.3 IPS |
