ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
4971
Single Precision Score
1930
Half Precision Score
7275
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sahinkilinc |
| Upload Date | May 02 2025 09:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX |
| Motherboard | ASUSTeK COMPUTER INC. G835LX |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3717
691.2 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.7 IPS |
|
|
Image Classification (Q)
|
99% |
6848
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1231
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3503
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12556
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6545
7.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
39298
46.1 IPS |
|
|
Object Detection (SP)
|
100% |
2926
232.1 IPS |
|
|
Object Detection (HP)
|
100% |
795
63.1 IPS |
|
|
Object Detection (Q)
|
86% |
6790
545.7 IPS |
|
|
Face Detection (SP)
|
100% |
8821
104.8 IPS |
|
|
Face Detection (HP)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
9918
118.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9708
74.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2436
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15144
120.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26028
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16636
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22760
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2824
104.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3639
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
753
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1501
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3476
69.8 IPS |
