ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
26958
Single Precision Score
46091
Half Precision Score
20862
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tanousjm |
| Upload Date | May 20 2025 08:55 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW |
| Motherboard | ASUSTeK COMPUTER INC. G835LW |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10517
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
17341
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9442
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20798
337.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
30633
496.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18643
303.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
154744
180.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
418700
488.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
138119
161.8 IPS |
|
|
Object Detection (SP)
|
100% |
13341
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
22619
1.79 KIPS |
|
|
Object Detection (Q)
|
86% |
11173
897.7 IPS |
|
|
Face Detection (SP)
|
100% |
40293
478.8 IPS |
|
|
Face Detection (HP)
|
100% |
57661
685.1 IPS |
|
|
Face Detection (Q)
|
97% |
33820
403.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
66342
511.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
119625
921.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
51123
408.4 IPS |
|
|
Style Transfer (SP)
|
100% |
241191
310.1 IPS |
|
|
Style Transfer (HP)
|
100% |
784409
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
208782
269.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37582
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65264
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29478
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3137
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1950
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5908
101.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6038
104.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2771
52.0 IPS |
