PC ASUS System Product Name
Geekbench AI Score
4427
Single Precision Score
1577
Half Precision Score
5716
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Wolfgang1756 |
| Upload Date | December 20 2024 10:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2618
486.9 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.4 IPS |
|
|
Image Classification (Q)
|
99% |
4547
848.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4166
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11390
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4824
5.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
33231
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
700
55.6 IPS |
|
|
Object Detection (Q)
|
88% |
2476
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
4339
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9979
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2090
16.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
9991
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25286
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12181
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20757
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4165
153.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5215
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
707
944.1 IPS |
|
|
Text Classification (Q)
|
97% |
1670
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3050
68.0 IPS |
