Generic
Geekbench AI Score
2297
Single Precision Score
1171
Half Precision Score
4465
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | March 22 2025 09:01 PM |
| Views | 4 |
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% |
1686
313.5 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
99% |
5406
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2049
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3410
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2987
3.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
15144
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
86% |
4264
342.7 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
7040
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4497
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1640
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11790
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8719
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7054
9.07 IPS |
|
|
Style Transfer (Q)
|
98% |
15205
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1453
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3343
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
475
636.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2198
44.2 IPS |
