ASUS System Product Name
Geekbench AI Score
6823
Single Precision Score
6676
Half Precision Score
12855
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 15 2024 04:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4186
778.5 IPS |
|
|
Image Classification (HP)
|
100% |
2595
482.6 IPS |
|
|
Image Classification (Q)
|
100% |
6525
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6010
97.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5982
97.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10323
167.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13661
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13665
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
37731
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
4093
324.7 IPS |
|
|
Object Detection (HP)
|
100% |
4039
320.4 IPS |
|
|
Object Detection (Q)
|
88% |
11453
918.1 IPS |
|
|
Face Detection (SP)
|
100% |
13666
162.4 IPS |
|
|
Face Detection (HP)
|
100% |
13664
162.4 IPS |
|
|
Face Detection (Q)
|
100% |
28687
340.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10321
79.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10781
83.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
15734
122.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34993
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36161
46.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50545
65.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4764
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5125
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10437
386.5 IPS |
|
|
Text Classification (SP)
|
100% |
1775
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1998
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
4764
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3733
64.3 IPS |
