ASUS System Product Name
Geekbench AI Score
6799
Single Precision Score
6701
Half Precision Score
14065
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 21 2024 10:10 PM |
| Views | 1 |
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% |
4521
840.7 IPS |
|
|
Image Classification (HP)
|
100% |
4527
841.9 IPS |
|
|
Image Classification (Q)
|
100% |
10637
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5920
96.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5912
95.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9907
160.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13687
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12130
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
19652
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
2728
216.4 IPS |
|
|
Object Detection (HP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (Q)
|
88% |
7016
562.4 IPS |
|
|
Face Detection (SP)
|
100% |
10222
121.5 IPS |
|
|
Face Detection (HP)
|
100% |
10449
124.2 IPS |
|
|
Face Detection (Q)
|
100% |
15742
187.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10346
79.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10125
78.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
32628
253.7 IPS |
|
|
Style Transfer (SP)
|
100% |
40065
51.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40109
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
105130
135.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6223
229.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6209
229.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19413
718.9 IPS |
|
|
Text Classification (SP)
|
100% |
2143
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
5270
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3777
65.1 IPS |
