ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
6396
Single Precision Score
4628
Half Precision Score
14428
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sahinkilinc |
| Upload Date | May 02 2025 09:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3953
735.2 IPS |
|
|
Image Classification (HP)
|
100% |
2323
432.0 IPS |
|
|
Image Classification (Q)
|
100% |
9241
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5724
92.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3040
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11313
183.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11075
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8188
9.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
28466
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
3286
260.6 IPS |
|
|
Object Detection (HP)
|
100% |
2173
172.3 IPS |
|
|
Object Detection (Q)
|
88% |
9547
765.3 IPS |
|
|
Face Detection (SP)
|
100% |
10620
126.2 IPS |
|
|
Face Detection (HP)
|
100% |
6150
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
25370
301.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10214
78.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7040
54.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26344
204.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29561
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21638
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
79832
102.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4276
157.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15273
565.6 IPS |
|
|
Text Classification (SP)
|
100% |
3140
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
6112
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2762
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4139
71.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2764
47.6 IPS |
