ASUS System Product Name
Geekbench AI Score
5879
Single Precision Score
2355
Half Precision Score
10549
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2026 09:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4621
859.4 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.3 IPS |
|
|
Image Classification (Q)
|
99% |
9791
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13307
216.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10663
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7201
8.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
35861
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
4358
345.7 IPS |
|
|
Object Detection (HP)
|
100% |
1066
84.6 IPS |
|
|
Object Detection (Q)
|
86% |
10063
808.8 IPS |
|
|
Face Detection (SP)
|
100% |
11405
135.5 IPS |
|
|
Face Detection (HP)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
12322
146.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12626
97.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3258
25.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
20699
165.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23426
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16460
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24651
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4540
167.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3198
118.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7225
267.5 IPS |
|
|
Text Classification (SP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1820
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3056
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4394
88.3 IPS |
