Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4
Geekbench AI Score
24856
Single Precision Score
38492
Half Precision Score
15002
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 29 2025 04:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10063
1.87 KIPS |
|
|
Image Classification (HP)
|
99% |
14194
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
6667
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17250
279.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25326
410.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12286
199.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
138275
161.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
400763
467.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
110242
129.2 IPS |
|
|
Object Detection (SP)
|
100% |
12500
991.5 IPS |
|
|
Object Detection (HP)
|
100% |
18227
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
8485
682.6 IPS |
|
|
Face Detection (SP)
|
100% |
32691
388.4 IPS |
|
|
Face Detection (HP)
|
100% |
47560
565.1 IPS |
|
|
Face Detection (Q)
|
97% |
22221
265.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
63841
491.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
106628
821.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
37499
300.4 IPS |
|
|
Style Transfer (SP)
|
100% |
259002
333.0 IPS |
|
|
Style Transfer (HP)
|
100% |
608889
782.7 IPS |
|
|
Style Transfer (Q)
|
98% |
186366
240.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37902
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47552
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20323
752.6 IPS |
|
|
Text Classification (SP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1487
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4768
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1606
30.1 IPS |
