ASUS System Product Name
Geekbench AI Score
5650
Single Precision Score
8983
Half Precision Score
13679
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cordyceps |
| Upload Date | April 30 2025 04:51 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3903
725.8 IPS |
|
|
Image Classification (HP)
|
100% |
6017
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7975
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3654
59.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8627
139.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12448
201.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12149
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11509
13.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
36796
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
3626
287.6 IPS |
|
|
Object Detection (HP)
|
100% |
5796
459.7 IPS |
|
|
Object Detection (Q)
|
88% |
9461
758.2 IPS |
|
|
Face Detection (SP)
|
100% |
7500
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
14730
175.0 IPS |
|
|
Face Detection (Q)
|
100% |
23632
280.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12548
96.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
22103
170.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
25733
200.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29920
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
42173
54.2 IPS |
|
|
Style Transfer (Q)
|
98% |
84779
109.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9509
351.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14989
555.1 IPS |
|
|
Text Classification (SP)
|
71% |
1611
2.33 KIPS |
|
|
Text Classification (HP)
|
71% |
2406
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
2672
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3148
54.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3215
55.4 IPS |
