ASUS System Product Name
Geekbench AI Score
10560
Single Precision Score
11176
Half Precision Score
18019
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 12 2025 02:47 AM |
| Views | 2 |
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% |
6395
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
7559
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
11052
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9108
147.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5199
84.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13895
225.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16034
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16341
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34549
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
6838
542.4 IPS |
|
|
Object Detection (HP)
|
100% |
8112
643.4 IPS |
|
|
Object Detection (Q)
|
88% |
12241
981.3 IPS |
|
|
Face Detection (SP)
|
100% |
18740
222.7 IPS |
|
|
Face Detection (HP)
|
100% |
22601
268.5 IPS |
|
|
Face Detection (Q)
|
100% |
32765
389.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16677
128.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19990
154.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
34697
269.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44497
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
46683
60.0 IPS |
|
|
Style Transfer (Q)
|
98% |
96699
124.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9606
354.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9906
365.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18317
678.3 IPS |
|
|
Text Classification (SP)
|
100% |
4561
6.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3383
4.51 KIPS |
|
|
Text Classification (Q)
|
92% |
6352
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4436
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8258
142.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4346
74.9 IPS |
