Generic
Geekbench AI Score
2407
Single Precision Score
1203
Half Precision Score
4369
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 11 2024 09:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11600K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z490 Steel Legend |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1906
354.5 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.7 IPS |
|
|
Image Classification (Q)
|
99% |
5551
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1890
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3758
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3189
3.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
15965
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
1956
155.2 IPS |
|
|
Object Detection (HP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
86% |
4116
330.8 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
6619
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4787
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1732
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11471
91.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9079
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7874
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15470
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3369
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
492
659.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
1889
38.0 IPS |
