Generic
Geekbench AI Score
3834
Single Precision Score
3877
Half Precision Score
5537
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Maverick75 |
| Upload Date | August 30 2025 11:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10600K CPU @ 4.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z490 Pro4 |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2432
452.3 IPS |
|
|
Image Classification (HP)
|
100% |
2456
456.7 IPS |
|
|
Image Classification (Q)
|
100% |
3635
676.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2594
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4202
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4793
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4600
5.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
9021
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
2392
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
2430
192.7 IPS |
|
|
Object Detection (Q)
|
87% |
3880
311.2 IPS |
|
|
Face Detection (SP)
|
100% |
4233
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
4702
55.9 IPS |
|
|
Face Detection (Q)
|
97% |
9771
116.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6310
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6304
48.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
10350
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14117
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14085
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27232
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2935
108.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2914
107.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5805
215.0 IPS |
|
|
Text Classification (SP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2528
3.37 KIPS |
|
|
Text Classification (Q)
|
91% |
901
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3520
60.6 IPS |
