ASUS System Product Name
Geekbench AI Score
2629
Single Precision Score
2561
Half Precision Score
1696
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | mangoodbad13 |
| Upload Date | January 02 2025 05:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-12900KF |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-F GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1963
365.0 IPS |
|
|
Image Classification (HP)
|
100% |
1994
370.9 IPS |
|
|
Image Classification (Q)
|
99% |
1102
205.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1259
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3221
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3224
3.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
4090
4.79 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
100% |
2279
180.7 IPS |
|
|
Object Detection (Q)
|
85% |
1202
96.8 IPS |
|
|
Face Detection (SP)
|
100% |
3469
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
2807
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2959
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2397
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3450
4.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3467
4.46 IPS |
|
|
Style Transfer (Q)
|
98% |
6841
8.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2582
95.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2094
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1927
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
1565
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
538
723.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2695
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (Q)
|
58% |
607
14.3 IPS |
