System manufacturer System Product Name
Geekbench AI Score
1107
Single Precision Score
1114
Half Precision Score
1631
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | May 19 2025 01:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-2600K CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Maximus IV GENE-Z |
| Power Plan | Najwysza wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2600K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
589
109.6 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.8 IPS |
|
|
Image Classification (Q)
|
100% |
1044
194.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1235
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
2251
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
586
46.4 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
87% |
1051
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
2923
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1901
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1901
14.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
2761
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2977
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2980
3.83 IPS |
|
|
Style Transfer (Q)
|
98% |
6714
8.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1359
50.4 IPS |
|
|
Text Classification (SP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (Q)
|
91% |
532
715.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1115
19.2 IPS |
