FUJITSU CLIENT COMPUTING LIMITED CELSIUS W5010
Geekbench AI Score
2777
Single Precision Score
1285
Half Precision Score
4536
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 20 2025 12:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED CELSIUS W5010 |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED D3817-A1 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2330
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (Q)
|
96% |
4198
784.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
5352
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4973
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4147
4.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
11167
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
58% |
2706
295.7 IPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (Q)
|
96% |
5768
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5578
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1726
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7682
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10860
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9313
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
12844
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3985
147.6 IPS |
|
|
Text Classification (SP)
|
100% |
1487
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
741
988.7 IPS |
|
|
Text Classification (Q)
|
97% |
1151
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2084
40.3 IPS |
