ASUS System Product Name
Geekbench AI Score
25579
Single Precision Score
56207
Half Precision Score
63479
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | JJTlionfish |
| Upload Date | January 23 2026 04:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z890 AYW GAMING WIFI W |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13333
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
27797
5.17 KIPS |
|
|
Image Classification (Q)
|
100% |
33220
6.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23261
377.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
37938
615.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
39945
647.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
84238
98.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
356083
415.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
667416
781.4 IPS |
|
|
Object Detection (SP)
|
100% |
10872
862.4 IPS |
|
|
Object Detection (HP)
|
100% |
30346
2.41 KIPS |
|
|
Object Detection (Q)
|
88% |
36030
2.89 KIPS |
|
|
Face Detection (SP)
|
100% |
32800
389.7 IPS |
|
|
Face Detection (HP)
|
100% |
69057
820.6 IPS |
|
|
Face Detection (Q)
|
100% |
77659
922.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
61392
473.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
145677
1.12 KIPS |
|
|
Depth Estimation (Q)
|
89% |
170257
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
209100
268.8 IPS |
|
|
Style Transfer (HP)
|
100% |
703643
904.5 IPS |
|
|
Style Transfer (Q)
|
98% |
968398
1.25 KIPS |
|
|
Image Super-Resolution (SP)
|
100% |
33513
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91871
3.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99602
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
6122
8.17 KIPS |
|
|
Text Classification (HP)
|
100% |
6421
8.57 KIPS |
|
|
Text Classification (Q)
|
92% |
3944
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4888
84.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6614
114.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6620
114.0 IPS |
