ASUS System Product Name
Geekbench AI Score
2271
Single Precision Score
1181
Half Precision Score
4829
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 08:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H610M-K D4 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1456
270.8 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.5 IPS |
|
|
Image Classification (Q)
|
99% |
4607
859.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2374
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3329
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2850
3.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
14095
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1652
131.1 IPS |
|
|
Object Detection (HP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (Q)
|
86% |
4198
337.4 IPS |
|
|
Face Detection (SP)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
1285
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
6325
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4282
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1673
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9785
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8132
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6748
8.67 IPS |
|
|
Style Transfer (Q)
|
98% |
13776
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1594
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3365
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
730
974.2 IPS |
|
|
Text Classification (Q)
|
97% |
1545
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2407
48.4 IPS |
