System manufacturer System Product Name
Geekbench AI Score
1598
Single Precision Score
1612
Half Precision Score
1159
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | r1348 |
| Upload Date | February 05 2025 06:23 PM |
| Views | 10 |
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% |
1202
223.5 IPS |
|
|
Image Classification (HP)
|
100% |
1194
222.0 IPS |
|
|
Image Classification (Q)
|
99% |
794
148.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
859
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2164
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2161
2.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
2396
2.81 IPS |
|
|
Object Detection (SP)
|
100% |
1229
97.5 IPS |
|
|
Object Detection (HP)
|
100% |
1260
99.9 IPS |
|
|
Object Detection (Q)
|
85% |
730
58.8 IPS |
|
|
Face Detection (SP)
|
100% |
1890
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1653
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1822
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1837
14.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1548
14.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2392
3.07 IPS |
|
|
Style Transfer (HP)
|
100% |
2389
3.07 IPS |
|
|
Style Transfer (Q)
|
98% |
4233
5.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1294
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1180
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
1179
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
561
753.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (Q)
|
58% |
513
12.0 IPS |
