PC ASUS System Product Name
Geekbench AI Score
5506
Single Precision Score
5508
Half Precision Score
13876
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Wolfgang1756 |
| Upload Date | December 20 2024 10:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3756
698.5 IPS |
|
|
Image Classification (HP)
|
100% |
3806
707.8 IPS |
|
|
Image Classification (Q)
|
100% |
9061
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4433
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4375
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7376
119.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8299
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
8373
9.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
31260
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3204
254.1 IPS |
|
|
Object Detection (HP)
|
100% |
3193
253.3 IPS |
|
|
Object Detection (Q)
|
88% |
9597
769.3 IPS |
|
|
Face Detection (SP)
|
100% |
10250
121.8 IPS |
|
|
Face Detection (HP)
|
100% |
10238
121.7 IPS |
|
|
Face Detection (Q)
|
100% |
24193
287.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9067
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8881
68.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26547
206.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24435
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24616
31.6 IPS |
|
|
Style Transfer (Q)
|
98% |
87492
112.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4800
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16754
620.5 IPS |
|
|
Text Classification (SP)
|
100% |
1725
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
4666
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3085
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2996
51.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3005
51.8 IPS |
