ASUS System Product Name
Geekbench AI Score
19348
Single Precision Score
32209
Half Precision Score
14419
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | compaqdrew |
| Upload Date | September 28 2024 02:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P WIFI D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8348
1.55 KIPS |
|
|
Image Classification (HP)
|
99% |
13654
2.55 KIPS |
|
|
Image Classification (Q)
|
100% |
7331
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12197
197.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15588
252.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11417
185.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
103492
120.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
334416
390.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
89566
104.9 IPS |
|
|
Object Detection (SP)
|
100% |
9486
752.4 IPS |
|
|
Object Detection (HP)
|
100% |
15731
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
7845
628.2 IPS |
|
|
Face Detection (SP)
|
100% |
20479
243.3 IPS |
|
|
Face Detection (HP)
|
100% |
31864
378.6 IPS |
|
|
Face Detection (Q)
|
97% |
16607
198.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44774
345.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85311
657.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
33230
267.0 IPS |
|
|
Style Transfer (SP)
|
100% |
193716
249.0 IPS |
|
|
Style Transfer (HP)
|
100% |
450358
578.9 IPS |
|
|
Style Transfer (Q)
|
98% |
160521
207.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33496
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52248
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23471
869.1 IPS |
|
|
Text Classification (SP)
|
100% |
3769
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
4713
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2233
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1423
31.7 IPS |
