Gigabyte Technology Co., Ltd. B760I AORUS PRO
Geekbench AI Score
1544
Single Precision Score
1576
Half Precision Score
1016
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | September 03 2024 06:27 AM |
| Views | 11 |
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% |
623
115.9 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.0 IPS |
|
|
Image Classification (Q)
|
100% |
505
93.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
736
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5205
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5703
6.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
3481
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
98% |
605
48.1 IPS |
|
|
Object Detection (Q)
|
89% |
573
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1446
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
966
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2887
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3158
24.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
2151
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10604
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14105
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7881
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2397
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
907
33.6 IPS |
|
|
Text Classification (SP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
439
586.0 IPS |
|
|
Text Classification (Q)
|
97% |
375
501.6 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
60% |
285
6.36 IPS |
