ASUS System Product Name
Geekbench AI Score
10493
Single Precision Score
11200
Half Precision Score
17992
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 12 2025 01:45 AM |
| Views | 7 |
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% |
6451
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
7628
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11096
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9080
147.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5182
84.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13612
220.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16039
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16399
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34705
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
6827
541.5 IPS |
|
|
Object Detection (HP)
|
100% |
8097
642.3 IPS |
|
|
Object Detection (Q)
|
88% |
12249
981.9 IPS |
|
|
Face Detection (SP)
|
100% |
18534
220.2 IPS |
|
|
Face Detection (HP)
|
100% |
22227
264.1 IPS |
|
|
Face Detection (Q)
|
100% |
32588
387.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16546
127.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19871
153.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
34225
266.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44515
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
46380
59.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96608
124.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9597
354.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9934
366.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18529
686.2 IPS |
|
|
Text Classification (SP)
|
100% |
4342
5.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
6349
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4438
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8395
144.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4370
75.3 IPS |
