ASUS System Product Name
Geekbench AI Score
10358
Single Precision Score
10414
Half Precision Score
17681
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | jzwVIC |
| Upload Date | March 18 2025 01:37 AM |
| Views | 15 |
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 STRIX Z890-E GAMING WIFI |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6404
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6464
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
11304
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8986
145.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9012
146.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13958
226.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16158
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16153
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
34670
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
6812
540.4 IPS |
|
|
Object Detection (HP)
|
100% |
6778
537.7 IPS |
|
|
Object Detection (Q)
|
88% |
12374
991.9 IPS |
|
|
Face Detection (SP)
|
100% |
18102
215.1 IPS |
|
|
Face Detection (HP)
|
100% |
18304
217.5 IPS |
|
|
Face Detection (Q)
|
100% |
31336
372.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15996
123.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15991
123.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
32430
252.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44843
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45005
57.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96315
124.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9568
353.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9629
355.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18226
675.0 IPS |
|
|
Text Classification (SP)
|
100% |
4385
5.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4423
5.90 KIPS |
|
|
Text Classification (Q)
|
92% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4123
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4195
72.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4193
72.2 IPS |
