ASUS System Product Name
Geekbench AI Score
7241
Single Precision Score
7269
Half Precision Score
6349
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | October 30 2024 11:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| 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% |
4380
814.6 IPS |
|
|
Image Classification (HP)
|
100% |
4368
812.3 IPS |
|
|
Image Classification (Q)
|
100% |
3397
631.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5822
94.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5777
93.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3492
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13145
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13157
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12686
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
4119
326.7 IPS |
|
|
Object Detection (HP)
|
100% |
4130
327.6 IPS |
|
|
Object Detection (Q)
|
88% |
3860
309.4 IPS |
|
|
Face Detection (SP)
|
100% |
13633
162.0 IPS |
|
|
Face Detection (HP)
|
100% |
13661
162.3 IPS |
|
|
Face Detection (Q)
|
100% |
9121
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13094
100.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13162
101.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9484
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38795
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38691
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35446
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6171
227.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6183
228.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5786
214.3 IPS |
|
|
Text Classification (SP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
2860
3.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3635
62.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3613
62.2 IPS |
