FUJITSU CLIENT COMPUTING LIMITED ULU-JR
Geekbench AI Score
2803
Single Precision Score
15955
Half Precision Score
22342
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1901
353.6 IPS |
|
|
Image Classification (HP)
|
100% |
9784
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
13079
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5148
83.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5247
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3065
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
94547
110.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
181422
212.5 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
100% |
12029
954.1 IPS |
|
|
Object Detection (Q)
|
87% |
15993
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
5235
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
20487
243.4 IPS |
|
|
Face Detection (Q)
|
100% |
36386
432.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4399
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
62684
482.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
93744
729.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8631
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
176469
226.9 IPS |
|
|
Style Transfer (Q)
|
98% |
267377
344.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21220
783.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
47447
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
1836
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1706
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2325
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2120
36.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2109
36.3 IPS |
