Gigabyte Technology Co., Ltd. B560 AORUS PRO AX
Geekbench AI Score
15904
Single Precision Score
25362
Half Precision Score
10331
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 01:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B560 AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B560 AORUS PRO AX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6143
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
9542
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
4370
812.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
10001
162.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14067
228.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8093
131.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
98894
115.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
269602
314.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
77904
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
8149
646.4 IPS |
|
|
Object Detection (HP)
|
100% |
12672
1.01 KIPS |
|
|
Object Detection (Q)
|
88% |
6012
482.2 IPS |
|
|
Face Detection (SP)
|
100% |
17477
207.7 IPS |
|
|
Face Detection (HP)
|
100% |
25780
306.3 IPS |
|
|
Face Detection (Q)
|
97% |
12971
154.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38062
293.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71443
550.4 IPS |
|
|
Depth Estimation (Q)
|
75% |
24912
201.5 IPS |
|
|
Style Transfer (SP)
|
100% |
163541
210.2 IPS |
|
|
Style Transfer (HP)
|
100% |
393488
505.8 IPS |
|
|
Style Transfer (Q)
|
98% |
125230
161.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28316
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38469
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16382
606.6 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
2957
3.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1200
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2878
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1052
23.5 IPS |
