Generic
Geekbench AI Score
2480
Single Precision Score
2484
Half Precision Score
4041
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 23 2024 03:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10105 CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z490M Pro4 |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10105 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (HP)
|
100% |
1553
288.8 IPS |
|
|
Image Classification (Q)
|
100% |
2587
481.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2499
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3284
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3283
3.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
6339
7.43 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (Q)
|
87% |
2625
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
6609
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4149
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4168
32.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
7060
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9402
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9394
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17868
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1904
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1913
70.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3758
139.2 IPS |
|
|
Text Classification (SP)
|
100% |
1741
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (Q)
|
91% |
1435
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2415
41.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2405
41.4 IPS |
