System manufacturer System Product Name
Geekbench AI Score
1580
Single Precision Score
1591
Half Precision Score
1146
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | JeyKul |
| Upload Date | January 12 2026 06:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1092
203.0 IPS |
|
|
Image Classification (HP)
|
100% |
1086
202.0 IPS |
|
|
Image Classification (Q)
|
99% |
765
142.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
848
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2167
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
2371
2.78 IPS |
|
|
Object Detection (SP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (HP)
|
100% |
1181
93.6 IPS |
|
|
Object Detection (Q)
|
85% |
721
58.1 IPS |
|
|
Face Detection (SP)
|
100% |
1915
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
1898
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
1590
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1853
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1862
14.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1527
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2608
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
2616
3.36 IPS |
|
|
Style Transfer (Q)
|
98% |
4296
5.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1200
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1206
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1161
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
571
766.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1762
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (Q)
|
58% |
512
12.0 IPS |
