ASUS System Product Name
Geekbench AI Score
2999
Single Precision Score
3017
Half Precision Score
1726
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | acph |
| Upload Date | June 17 2025 12:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.46 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1979
368.1 IPS |
|
|
Image Classification (HP)
|
100% |
1977
367.6 IPS |
|
|
Image Classification (Q)
|
99% |
1112
207.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1124
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3367
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3363
3.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
3328
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
1893
150.2 IPS |
|
|
Object Detection (HP)
|
100% |
1903
150.9 IPS |
|
|
Object Detection (Q)
|
85% |
1097
88.3 IPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
4274
50.8 IPS |
|
|
Face Detection (Q)
|
97% |
2860
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3587
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3576
27.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2056
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4202
5.40 IPS |
|
|
Style Transfer (HP)
|
100% |
4259
5.47 IPS |
|
|
Style Transfer (Q)
|
98% |
6269
8.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2567
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2600
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1763
65.3 IPS |
|
|
Text Classification (SP)
|
100% |
2671
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
972
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3851
66.3 IPS |
|
|
Machine Translation (Q)
|
58% |
815
19.1 IPS |
