System manufacturer System Product Name
Geekbench AI Score
1599
Single Precision Score
1615
Half Precision Score
1165
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | r1348 |
| Upload Date | February 05 2025 07:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X570-PRO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1203
223.6 IPS |
|
|
Image Classification (HP)
|
100% |
1186
220.5 IPS |
|
|
Image Classification (Q)
|
99% |
796
148.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
868
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2168
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
2422
2.84 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (HP)
|
100% |
1236
98.0 IPS |
|
|
Object Detection (Q)
|
85% |
732
58.9 IPS |
|
|
Face Detection (SP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
1693
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1834
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1819
14.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1554
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2385
3.07 IPS |
|
|
Style Transfer (HP)
|
100% |
2397
3.08 IPS |
|
|
Style Transfer (Q)
|
98% |
4226
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1288
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1182
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1282
1.71 KIPS |
|
|
Text Classification (Q)
|
92% |
560
752.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1534
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1733
29.8 IPS |
|
|
Machine Translation (Q)
|
58% |
512
12.0 IPS |
