Gigabyte Technology Co., Ltd. Z690 AORUS PRO
Geekbench AI Score
8235
Single Precision Score
8466
Half Precision Score
5826
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | danlopex |
| Upload Date | November 23 2024 04:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.9 IPS |
|
|
Image Classification (HP)
|
100% |
3294
612.6 IPS |
|
|
Image Classification (Q)
|
100% |
1884
350.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5367
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5560
90.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4514
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
64644
75.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34867
40.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
49902
58.4 IPS |
|
|
Object Detection (SP)
|
100% |
2640
209.4 IPS |
|
|
Object Detection (HP)
|
100% |
4251
337.2 IPS |
|
|
Object Detection (Q)
|
89% |
2254
180.4 IPS |
|
|
Face Detection (SP)
|
100% |
5073
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
8970
106.6 IPS |
|
|
Face Detection (Q)
|
97% |
4632
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18529
142.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17164
132.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
14149
114.0 IPS |
|
|
Style Transfer (SP)
|
100% |
99953
128.5 IPS |
|
|
Style Transfer (HP)
|
100% |
57647
74.1 IPS |
|
|
Style Transfer (Q)
|
98% |
78450
101.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18177
671.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12848
474.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10911
404.0 IPS |
|
|
Text Classification (SP)
|
100% |
1683
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (Q)
|
97% |
906
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2607
44.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2670
46.2 IPS |
|
|
Machine Translation (Q)
|
60% |
927
20.7 IPS |
