Gigabyte Technology Co., Ltd. B760I AORUS PRO
Geekbench AI Score
1538
Single Precision Score
1575
Half Precision Score
1009
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | September 03 2024 01:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760I AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. B760I AORUS PRO |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
613
113.9 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.3 IPS |
|
|
Image Classification (Q)
|
100% |
501
93.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1053
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
730
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5205
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5712
6.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
3484
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
698
55.4 IPS |
|
|
Object Detection (HP)
|
98% |
604
48.1 IPS |
|
|
Object Detection (Q)
|
89% |
563
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
976
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2897
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3150
24.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
2087
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10584
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14005
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
7850
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2407
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
910
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
445
594.3 IPS |
|
|
Text Classification (Q)
|
97% |
378
506.4 IPS |
|
|
Machine Translation (SP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
279
6.23 IPS |
