System manufacturer System Product Name
Geekbench AI Score
1294
Single Precision Score
652
Half Precision Score
1270
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| User | lcsj65 |
| Upload Date | March 10 2026 02:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4930K |
| 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 | High performance |
| 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% |
987
183.5 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.8 IPS |
|
|
Image Classification (Q)
|
96% |
940
175.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
1198
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2014
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1501
1.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
1890
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
999
79.2 IPS |
|
|
Object Detection (HP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (Q)
|
58% |
677
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (Q)
|
96% |
1732
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2522
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
956
7.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
2014
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4750
6.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3899
5.01 IPS |
|
|
Style Transfer (Q)
|
87% |
3748
4.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
906
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
787
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1009
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.3 IPS |
|
|
Text Classification (HP)
|
100% |
359
479.7 IPS |
|
|
Text Classification (Q)
|
97% |
593
794.4 IPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
68% |
974
18.8 IPS |
