System manufacturer System Product Name
Geekbench AI Score
570
Single Precision Score
598
Half Precision Score
1575
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| User | lcsj65 |
| Upload Date | February 24 2026 03:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4930K CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. RAMPAGE IV GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4930K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
570
106.1 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (Q)
|
100% |
1062
197.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
873
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1356
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1059
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
1754
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
87% |
1105
88.6 IPS |
|
|
Face Detection (SP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
2995
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1944
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1875
14.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
2760
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16
0.02 IPS |
|
|
Style Transfer (HP)
|
100% |
17
0.02 IPS |
|
|
Style Transfer (Q)
|
98% |
7245
9.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1464
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
676
902.9 IPS |
|
|
Text Classification (HP)
|
100% |
698
931.4 IPS |
|
|
Text Classification (Q)
|
91% |
418
562.2 IPS |
|
|
Machine Translation (SP)
|
100% |
914
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (Q)
|
100% |
922
15.9 IPS |
