Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX
Geekbench AI Score
4809
Single Precision Score
4623
Half Precision Score
11248
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | September 26 2024 06:15 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3121
580.3 IPS |
|
|
Image Classification (HP)
|
100% |
3115
579.3 IPS |
|
|
Image Classification (Q)
|
100% |
6654
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3447
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6214
100.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5851
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5859
6.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
21557
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2925
232.0 IPS |
|
|
Object Detection (HP)
|
100% |
2951
234.0 IPS |
|
|
Object Detection (Q)
|
88% |
7156
573.7 IPS |
|
|
Face Detection (SP)
|
100% |
8550
101.6 IPS |
|
|
Face Detection (HP)
|
100% |
8565
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
17286
205.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7778
59.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
7790
60.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
18886
149.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17559
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17606
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
59445
76.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3670
135.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11477
425.0 IPS |
|
|
Text Classification (SP)
|
100% |
1976
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
4106
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4244
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4229
72.8 IPS |
|
|
Machine Translation (Q)
|
85% |
5559
97.3 IPS |
