ASUS System Product Name
Geekbench AI Score
6517
Single Precision Score
6648
Half Precision Score
12738
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 21 2024 06:56 AM |
| Views | 11 |
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% |
2681
498.6 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
100% |
10337
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5990
97.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6018
97.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10402
168.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13653
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13707
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
37832
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
4095
324.9 IPS |
|
|
Object Detection (HP)
|
100% |
4113
326.2 IPS |
|
|
Object Detection (Q)
|
88% |
11501
921.9 IPS |
|
|
Face Detection (SP)
|
100% |
13684
162.6 IPS |
|
|
Face Detection (HP)
|
100% |
13671
162.4 IPS |
|
|
Face Detection (Q)
|
100% |
16167
192.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9924
76.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11346
87.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
15743
122.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34999
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39861
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
54564
70.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4714
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4493
165.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9637
356.9 IPS |
|
|
Text Classification (SP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2034
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
4870
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3690
63.6 IPS |
