ASUS System Product Name
Geekbench AI Score
6461
Single Precision Score
6567
Half Precision Score
12598
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 21 2024 06:26 AM |
| Views | 2 |
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% |
2764
514.1 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
100% |
6642
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4641
75.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5943
96.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10435
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13618
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13642
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
37833
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
4103
325.5 IPS |
|
|
Object Detection (HP)
|
100% |
4099
325.1 IPS |
|
|
Object Detection (Q)
|
88% |
11444
917.4 IPS |
|
|
Face Detection (SP)
|
100% |
13628
161.9 IPS |
|
|
Face Detection (HP)
|
100% |
13660
162.3 IPS |
|
|
Face Detection (Q)
|
100% |
28984
344.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13034
100.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10639
82.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
14602
113.5 IPS |
|
|
Style Transfer (SP)
|
100% |
34791
44.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34942
44.9 IPS |
|
|
Style Transfer (Q)
|
98% |
50474
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4797
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10341
383.0 IPS |
|
|
Text Classification (SP)
|
100% |
1773
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1958
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
4104
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3703
63.8 IPS |
