ASUS System Product Name
Geekbench AI Score
7391
Single Precision Score
7404
Half Precision Score
16220
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 30 2024 05:29 PM |
| 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% |
4469
831.2 IPS |
|
|
Image Classification (HP)
|
100% |
4530
842.5 IPS |
|
|
Image Classification (Q)
|
100% |
10700
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5587
90.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5597
90.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10084
163.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13596
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13616
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34784
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
4089
324.3 IPS |
|
|
Object Detection (HP)
|
100% |
4094
324.7 IPS |
|
|
Object Detection (Q)
|
88% |
11513
922.9 IPS |
|
|
Face Detection (SP)
|
100% |
13670
162.4 IPS |
|
|
Face Detection (HP)
|
100% |
13667
162.4 IPS |
|
|
Face Detection (Q)
|
100% |
27894
331.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13138
101.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13172
101.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
31542
245.3 IPS |
|
|
Style Transfer (SP)
|
100% |
40401
51.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40437
52.0 IPS |
|
|
Style Transfer (Q)
|
98% |
96657
124.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6207
229.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6187
228.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19610
726.2 IPS |
|
|
Text Classification (SP)
|
100% |
2053
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2058
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
4606
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3794
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3781
65.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3798
65.4 IPS |
