Intel(R) UHD Graphics 750 / OpenVino Gigabyte Technology Co., Ltd. B560M DS3H
Geekbench AI Score
2010
Single Precision Score
2939
Half Precision Score
4557
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | notz |
| Upload Date | December 27 2024 01:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 750 (iGPU) |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Gigabyte Technology Co., Ltd. B560M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B560M DS3H |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1185
220.4 IPS |
|
|
Image Classification (HP)
|
100% |
1741
323.9 IPS |
|
|
Image Classification (Q)
|
99% |
2803
522.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3362
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3416
3.99 IPS |
|
|
Pose Estimation (HP)
|
99% |
2530
2.95 IPS |
|
|
Pose Estimation (Q)
|
97% |
10380
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (HP)
|
98% |
1744
138.8 IPS |
|
|
Object Detection (Q)
|
90% |
2838
226.9 IPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
5594
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
8243
97.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3974
30.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6660
51.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
8961
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8911
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14105
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23850
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2599
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5065
187.6 IPS |
|
|
Text Classification (SP)
|
71% |
963
1.39 KIPS |
|
|
Text Classification (HP)
|
71% |
1285
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
1274
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1221
21.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1224
21.1 IPS |
