Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX
Geekbench AI Score
2315
Single Precision Score
528
Half Precision Score
2709
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:39 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (Q)
|
99% |
2091
390.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1628
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4418
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3099
3.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
13980
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.6 IPS |
|
|
Object Detection (HP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (Q)
|
88% |
1263
101.2 IPS |
|
|
Face Detection (SP)
|
100% |
2957
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
210
2.50 IPS |
|
|
Face Detection (Q)
|
97% |
2936
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5019
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
625
4.82 IPS |
|
|
Depth Estimation (Q)
|
76% |
6417
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11082
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7497
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
16430
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1883
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1399
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2607
96.5 IPS |
|
|
Text Classification (SP)
|
100% |
1054
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
428
571.4 IPS |
|
|
Text Classification (Q)
|
97% |
321
430.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.19 IPS |
|
|
Machine Translation (Q)
|
60% |
1371
30.6 IPS |
