ASUS System Product Name
Geekbench AI Score
3667
Single Precision Score
3705
Half Precision Score
2377
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | quarantadue |
| Upload Date | January 09 2026 03:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650E MAX GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.58 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2820
524.5 IPS |
|
|
Image Classification (HP)
|
100% |
2859
531.6 IPS |
|
|
Image Classification (Q)
|
99% |
1788
333.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3595
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3661
59.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1576
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3909
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3907
4.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
4831
5.66 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (HP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (Q)
|
85% |
1586
127.7 IPS |
|
|
Face Detection (SP)
|
100% |
5093
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
5145
61.1 IPS |
|
|
Face Detection (Q)
|
97% |
3768
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4186
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4183
32.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3077
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4466
5.74 IPS |
|
|
Style Transfer (HP)
|
100% |
4484
5.76 IPS |
|
|
Style Transfer (Q)
|
98% |
8268
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3061
113.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3105
114.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2432
90.1 IPS |
|
|
Text Classification (SP)
|
100% |
3345
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3351
4.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5028
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5229
90.1 IPS |
|
|
Machine Translation (Q)
|
58% |
980
23.0 IPS |
