FUJITSU CLIENT COMPUTING LIMITED ULU-JR
Geekbench AI Score
2132
Single Precision Score
1145
Half Precision Score
3574
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.2 IPS |
|
|
Image Classification (Q)
|
99% |
2740
511.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2363
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2972
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2307
2.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
10956
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.8 IPS |
|
|
Object Detection (Q)
|
88% |
1510
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
2943
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
1370
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
3707
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3749
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1636
12.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5583
44.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7084
9.11 IPS |
|
|
Style Transfer (HP)
|
100% |
5831
7.50 IPS |
|
|
Style Transfer (Q)
|
98% |
14765
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3225
119.4 IPS |
|
|
Text Classification (SP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.9 IPS |
|
|
Text Classification (Q)
|
97% |
1539
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2094
46.7 IPS |
