ASUS System Product Name
Geekbench AI Score
6770
Single Precision Score
6570
Half Precision Score
12881
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 15 2024 04:14 PM |
| Views | 15 |
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% |
4238
788.1 IPS |
|
|
Image Classification (HP)
|
100% |
2594
482.5 IPS |
|
|
Image Classification (Q)
|
100% |
6536
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5085
82.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4820
78.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10074
163.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13637
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13678
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
37509
43.9 IPS |
|
|
Object Detection (SP)
|
100% |
4071
322.9 IPS |
|
|
Object Detection (HP)
|
100% |
4092
324.6 IPS |
|
|
Object Detection (Q)
|
88% |
11473
919.7 IPS |
|
|
Face Detection (SP)
|
100% |
13658
162.3 IPS |
|
|
Face Detection (HP)
|
100% |
13663
162.3 IPS |
|
|
Face Detection (Q)
|
100% |
28912
343.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13018
100.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13091
100.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
15971
124.2 IPS |
|
|
Style Transfer (SP)
|
100% |
34771
44.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34702
44.6 IPS |
|
|
Style Transfer (Q)
|
98% |
51978
67.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4972
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10556
390.9 IPS |
|
|
Text Classification (SP)
|
100% |
1637
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1862
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
4776
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3357
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3668
63.2 IPS |
