Generic
Geekbench AI Score
1468
Single Precision Score
1472
Half Precision Score
1969
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | yuichan |
| Upload Date | November 14 2025 09:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz |
| 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% |
868
161.4 IPS |
|
|
Image Classification (HP)
|
100% |
767
142.7 IPS |
|
|
Image Classification (Q)
|
100% |
1140
212.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1998
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2458
2.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
2976
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
925
73.3 IPS |
|
|
Object Detection (HP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (Q)
|
87% |
1205
96.6 IPS |
|
|
Face Detection (SP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
3575
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2177
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2155
16.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
3378
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5265
6.77 IPS |
|
|
Style Transfer (HP)
|
100% |
5288
6.80 IPS |
|
|
Style Transfer (Q)
|
98% |
8075
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
986
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1750
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1074
1.43 KIPS |
|
|
Text Classification (Q)
|
91% |
568
763.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1503
25.9 IPS |
