ASUS System Product Name
Geekbench AI Score
10477
Single Precision Score
11195
Half Precision Score
17964
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 12 2025 04:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 9 285K |
| 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% |
6456
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
7597
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
11334
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9166
148.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5242
85.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13801
223.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16050
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16419
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
34689
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
6802
539.6 IPS |
|
|
Object Detection (HP)
|
100% |
8005
634.9 IPS |
|
|
Object Detection (Q)
|
88% |
12450
998.0 IPS |
|
|
Face Detection (SP)
|
100% |
18853
224.0 IPS |
|
|
Face Detection (HP)
|
100% |
22417
266.4 IPS |
|
|
Face Detection (Q)
|
100% |
32191
382.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16584
127.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19817
152.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
34532
268.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44593
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
46124
59.3 IPS |
|
|
Style Transfer (Q)
|
98% |
96944
125.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9581
353.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10024
370.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18484
684.5 IPS |
|
|
Text Classification (SP)
|
100% |
4391
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (Q)
|
92% |
6322
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4209
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8369
144.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4114
70.9 IPS |
