ASUS System Product Name
Geekbench AI Score
11827
Single Precision Score
12327
Half Precision Score
19356
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chrixmix |
| Upload Date | April 19 2026 03:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 270K Plus |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 270K Plus |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7487
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
8205
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
12408
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10230
165.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5965
96.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13772
223.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18639
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17997
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
36225
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
7303
579.3 IPS |
|
|
Object Detection (HP)
|
100% |
8521
675.9 IPS |
|
|
Object Detection (Q)
|
88% |
13248
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
20698
245.9 IPS |
|
|
Face Detection (HP)
|
100% |
25158
298.9 IPS |
|
|
Face Detection (Q)
|
100% |
36357
432.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18904
145.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22402
172.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
37955
295.1 IPS |
|
|
Style Transfer (SP)
|
100% |
51944
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49816
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
104932
135.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10813
399.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10963
404.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19479
721.4 IPS |
|
|
Text Classification (SP)
|
100% |
4936
6.59 KIPS |
|
|
Text Classification (HP)
|
100% |
3790
5.06 KIPS |
|
|
Text Classification (Q)
|
92% |
6757
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4738
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9255
159.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4725
81.4 IPS |
