ASUS System Product Name
Geekbench AI Score
23541
Single Precision Score
48368
Half Precision Score
51752
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jim905 |
| Upload Date | August 12 2025 08:21 PM |
| 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 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12668
2.36 KIPS |
|
|
Image Classification (HP)
|
100% |
25787
4.80 KIPS |
|
|
Image Classification (Q)
|
100% |
27546
5.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22403
363.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
36230
587.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
37991
615.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
82871
96.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
350535
409.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
654358
766.1 IPS |
|
|
Object Detection (SP)
|
100% |
10165
806.3 IPS |
|
|
Object Detection (HP)
|
100% |
26859
2.13 KIPS |
|
|
Object Detection (Q)
|
88% |
28554
2.29 KIPS |
|
|
Face Detection (SP)
|
100% |
28887
343.2 IPS |
|
|
Face Detection (HP)
|
100% |
59166
703.0 IPS |
|
|
Face Detection (Q)
|
100% |
66539
790.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
59875
461.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
135422
1.04 KIPS |
|
|
Depth Estimation (Q)
|
89% |
163255
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
183296
235.6 IPS |
|
|
Style Transfer (HP)
|
100% |
564710
725.9 IPS |
|
|
Style Transfer (Q)
|
98% |
629527
811.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32974
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73610
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63919
2.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4843
6.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4398
5.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2903
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4319
74.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5440
94.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5555
95.7 IPS |
