CSL-Computer GmbH & Co. KG 811
Geekbench AI Score
4075
Single Precision Score
1711
Half Precision Score
5741
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | conrad231 |
| Upload Date | January 08 2025 07:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | CSL-Computer GmbH & Co. KG 811 |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z590-PLUS WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3535
657.3 IPS |
|
|
Image Classification (HP)
|
100% |
575
106.9 IPS |
|
|
Image Classification (Q)
|
99% |
7616
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2575
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7896
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6077
7.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
25103
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
3137
248.8 IPS |
|
|
Object Detection (HP)
|
100% |
732
58.0 IPS |
|
|
Object Detection (Q)
|
86% |
5502
442.1 IPS |
|
|
Face Detection (SP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
1467
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
8510
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9547
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2375
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15960
127.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17041
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14403
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19277
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3130
115.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2666
98.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4311
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
1911
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
978
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
557
745.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1820
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2284
45.9 IPS |
