ASUS System Product Name
Geekbench AI Score
5689
Single Precision Score
5808
Half Precision Score
16374
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 02:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-F GAMING WIFI II |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3878
721.3 IPS |
|
|
Image Classification (HP)
|
100% |
3885
722.6 IPS |
|
|
Image Classification (Q)
|
100% |
9932
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4740
76.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4760
77.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9758
158.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8938
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8982
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
34748
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3384
268.4 IPS |
|
|
Object Detection (HP)
|
100% |
3388
268.7 IPS |
|
|
Object Detection (Q)
|
88% |
10537
844.7 IPS |
|
|
Face Detection (SP)
|
100% |
11280
134.0 IPS |
|
|
Face Detection (HP)
|
100% |
11136
132.3 IPS |
|
|
Face Detection (Q)
|
100% |
25660
304.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9520
73.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
9491
73.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
29738
235.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23091
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26749
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95375
123.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4931
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4968
183.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17580
651.1 IPS |
|
|
Text Classification (SP)
|
100% |
1616
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1685
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
4792
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3238
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3280
56.5 IPS |
|
|
Machine Translation (Q)
|
85% |
6371
111.5 IPS |
