Generic
Geekbench AI Score
1243
Single Precision Score
682
Half Precision Score
1411
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 09:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4790 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock H97 Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
752
139.8 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.2 IPS |
|
|
Image Classification (Q)
|
96% |
1115
208.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
1034
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1995
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1652
1.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
2331
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
893
70.9 IPS |
|
|
Object Detection (HP)
|
100% |
340
26.9 IPS |
|
|
Object Detection (Q)
|
58% |
785
85.7 IPS |
|
|
Face Detection (SP)
|
100% |
1679
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (Q)
|
96% |
2589
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2459
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
962
7.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
2748
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4784
6.15 IPS |
|
|
Style Transfer (HP)
|
100% |
3779
4.86 IPS |
|
|
Style Transfer (Q)
|
87% |
4921
6.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
869
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1184
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
463
617.6 IPS |
|
|
Text Classification (Q)
|
97% |
323
432.7 IPS |
|
|
Machine Translation (SP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.95 IPS |
|
|
Machine Translation (Q)
|
68% |
1115
21.5 IPS |
