ASUS System Product Name
Geekbench AI Score
3561
Single Precision Score
3589
Half Precision Score
1931
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| Upload Date | February 21 2026 07:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Nobara Linux 43 (KDE Plasma Desktop Edition) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.05 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2631
489.4 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.2 IPS |
|
|
Image Classification (Q)
|
99% |
1406
262.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3475
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3492
56.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1286
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3911
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3919
4.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
4038
4.73 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
2165
171.7 IPS |
|
|
Object Detection (Q)
|
85% |
1266
101.9 IPS |
|
|
Face Detection (SP)
|
100% |
5629
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
5627
66.9 IPS |
|
|
Face Detection (Q)
|
97% |
2820
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4300
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4487
34.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2446
22.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4052
5.21 IPS |
|
|
Style Transfer (HP)
|
100% |
4043
5.20 IPS |
|
|
Style Transfer (Q)
|
98% |
7083
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2837
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1951
72.3 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (Q)
|
92% |
999
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5297
91.2 IPS |
|
|
Machine Translation (Q)
|
58% |
823
19.3 IPS |
