CSL-Computer GmbH & Co. KG 811
Geekbench AI Score
4057
Single Precision Score
1715
Half Precision Score
5748
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | conrad231 |
| Upload Date | January 06 2025 04:02 AM |
| Views | 7 |
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% |
3584
666.5 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (Q)
|
99% |
7361
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
898
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2605
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7679
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6127
7.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
25108
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
3103
246.1 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
86% |
5588
449.1 IPS |
|
|
Face Detection (SP)
|
100% |
4213
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
8494
101.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9680
74.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2390
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16030
127.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17544
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14389
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19286
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3050
112.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2570
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4255
157.6 IPS |
|
|
Text Classification (SP)
|
100% |
1932
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
558
746.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1829
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2349
47.2 IPS |
