ASUS System Product Name
Geekbench AI Score
5675
Single Precision Score
5674
Half Precision Score
8212
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cordyceps |
| Upload Date | April 26 2025 06:22 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10850K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII HERO (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10850K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3499
650.8 IPS |
|
|
Image Classification (HP)
|
100% |
3567
663.3 IPS |
|
|
Image Classification (Q)
|
100% |
5655
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4485
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4586
74.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6878
111.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8167
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
8177
9.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
17061
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3411
270.5 IPS |
|
|
Object Detection (HP)
|
100% |
3300
261.8 IPS |
|
|
Object Detection (Q)
|
87% |
6117
490.6 IPS |
|
|
Face Detection (SP)
|
100% |
5763
68.5 IPS |
|
|
Face Detection (HP)
|
100% |
5682
67.5 IPS |
|
|
Face Detection (Q)
|
97% |
16450
196.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9520
73.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9662
74.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
16130
127.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24276
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24028
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
48216
62.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9293
344.2 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (Q)
|
91% |
708
951.5 IPS |
|
|
Machine Translation (SP)
|
100% |
4154
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4019
69.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4082
70.3 IPS |
