ASUS System Product Name
Geekbench AI Score
6484
Single Precision Score
6967
Half Precision Score
9416
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssuper2k |
| Upload Date | November 16 2024 09:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4565
848.9 IPS |
|
|
Image Classification (HP)
|
100% |
6444
1.20 KIPS |
|
|
Image Classification (Q)
|
56% |
5923
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4247
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2342
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8842
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32394
37.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
65301
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
4203
333.4 IPS |
|
|
Object Detection (HP)
|
100% |
3572
283.3 IPS |
|
|
Object Detection (Q)
|
87% |
7090
569.0 IPS |
|
|
Face Detection (SP)
|
100% |
13426
159.5 IPS |
|
|
Face Detection (HP)
|
100% |
8658
102.9 IPS |
|
|
Face Detection (Q)
|
100% |
10524
125.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11427
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17135
132.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
29260
227.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26231
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
51309
66.0 IPS |
|
|
Style Transfer (Q)
|
98% |
90720
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5405
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11877
438.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17586
651.3 IPS |
|
|
Text Classification (SP)
|
100% |
1652
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
1530
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5080
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1135
19.5 IPS |
