ASUS System Product Name
Geekbench AI Score
3135
Single Precision Score
3071
Half Precision Score
1955
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | disccobasket |
| Upload Date | December 23 2025 07:05 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS 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 | 30.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
1795
333.8 IPS |
|
|
Image Classification (Q)
|
99% |
1208
225.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1290
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3345
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3305
3.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
4263
5.00 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (Q)
|
85% |
1387
111.7 IPS |
|
|
Face Detection (SP)
|
100% |
4160
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
4177
49.6 IPS |
|
|
Face Detection (Q)
|
97% |
3010
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3739
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3668
28.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2570
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4530
5.82 IPS |
|
|
Style Transfer (HP)
|
100% |
4596
5.91 IPS |
|
|
Style Transfer (Q)
|
98% |
7412
9.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2539
93.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2698
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2249
83.3 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
780
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4119
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4805
82.8 IPS |
|
|
Machine Translation (Q)
|
58% |
884
20.7 IPS |
