ASUS System Product Name
Geekbench AI Score
2335
Single Precision Score
2258
Half Precision Score
1496
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | johnclayton |
| Upload Date | January 09 2025 11:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-13500 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1935
359.9 IPS |
|
|
Image Classification (HP)
|
100% |
1760
327.4 IPS |
|
|
Image Classification (Q)
|
99% |
1197
223.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1125
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3082
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2971
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2995
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (Q)
|
85% |
1050
84.5 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
2599
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2679
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2659
20.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2111
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3282
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3275
4.21 IPS |
|
|
Style Transfer (Q)
|
98% |
5960
7.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1407
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
1327
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
476
639.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2203
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (Q)
|
58% |
606
14.2 IPS |
