System manufacturer System Product Name
Geekbench AI Score
416
Single Precision Score
416
Half Precision Score
1284
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows x86 (64-bit)
Result Information
| Upload Date | August 11 2024 05:38 PM |
| Views | 11 |
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 | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.1 IPS |
|
|
Image Classification (Q)
|
100% |
796
148.0 IPS |
|
|
Image Segmentation (SP)
|
29% |
51
10.6 IPS |
|
|
Image Segmentation (HP)
|
29% |
50
10.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
853
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
810
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
810
0.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
1714
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (Q)
|
87% |
786
63.0 IPS |
|
|
Face Detection (SP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
2201
26.2 IPS |
|
|
Depth Estimation (SP)
|
29% |
111
11.8 IPS |
|
|
Depth Estimation (HP)
|
29% |
111
11.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
2100
16.6 IPS |
|
|
Style Transfer (SP)
|
31% |
228
3.09 IPS |
|
|
Style Transfer (HP)
|
31% |
228
3.09 IPS |
|
|
Style Transfer (Q)
|
98% |
5139
6.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1042
38.6 IPS |
|
|
Text Classification (SP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
828
1.10 KIPS |
|
|
Text Classification (Q)
|
91% |
455
611.7 IPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
90% |
1187
20.6 IPS |
