ASUS System Product Name
Geekbench AI Score
18958
Single Precision Score
31293
Half Precision Score
12432
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tar1na |
| Upload Date | December 04 2024 07:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z690-CREATOR WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6784
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
11917
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
5326
990.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
11928
193.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17048
276.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9497
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
105946
123.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
301050
351.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
85372
100.0 IPS |
|
|
Object Detection (SP)
|
100% |
10066
798.4 IPS |
|
|
Object Detection (HP)
|
100% |
16060
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
7425
597.7 IPS |
|
|
Face Detection (SP)
|
100% |
21839
259.5 IPS |
|
|
Face Detection (HP)
|
100% |
33914
403.0 IPS |
|
|
Face Detection (Q)
|
97% |
16802
200.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
46061
354.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87737
676.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
30284
242.6 IPS |
|
|
Style Transfer (SP)
|
100% |
183133
235.4 IPS |
|
|
Style Transfer (HP)
|
100% |
451291
580.1 IPS |
|
|
Style Transfer (Q)
|
98% |
139384
179.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32773
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43778
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18334
678.9 IPS |
|
|
Text Classification (SP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4209
5.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1476
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1434
26.9 IPS |
