FUJITSU CLIENT COMPUTING LIMITED CELSIUS W5010
Geekbench AI Score
14267
Single Precision Score
23240
Half Precision Score
9676
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 20 2025 12:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro RTX 5000 |
| 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% |
5695
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8862
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
4330
807.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9564
155.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13280
215.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7540
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
79029
92.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
224353
261.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
63393
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
7271
576.7 IPS |
|
|
Object Detection (HP)
|
100% |
11648
923.9 IPS |
|
|
Object Detection (Q)
|
84% |
5642
455.1 IPS |
|
|
Face Detection (SP)
|
100% |
17204
204.4 IPS |
|
|
Face Detection (HP)
|
100% |
26807
318.5 IPS |
|
|
Face Detection (Q)
|
97% |
13287
158.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
36907
284.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
64759
498.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
24514
196.4 IPS |
|
|
Style Transfer (SP)
|
100% |
136064
174.9 IPS |
|
|
Style Transfer (HP)
|
100% |
311748
400.8 IPS |
|
|
Style Transfer (Q)
|
98% |
106497
137.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24155
891.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36687
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13998
518.3 IPS |
|
|
Text Classification (SP)
|
100% |
1756
2.34 KIPS |
|
|
Text Classification (HP)
|
99% |
2548
3.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1004
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2954
50.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1265
23.7 IPS |
