ASUSTeK COMPUTER INC. ROG Strix G16 G615LR_G615LR
Geekbench AI Score
6444
Single Precision Score
2364
Half Precision Score
9542
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 02:13 PM |
| Views | 4 |
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 G16 G615LR_G615LR |
| Motherboard | ASUSTeK COMPUTER INC. G615LR |
| 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% |
5235
973.6 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.2 IPS |
|
|
Image Classification (Q)
|
99% |
8793
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5139
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14666
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7837
9.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
46448
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
4411
349.9 IPS |
|
|
Object Detection (HP)
|
100% |
1036
82.1 IPS |
|
|
Object Detection (Q)
|
86% |
10684
858.6 IPS |
|
|
Face Detection (SP)
|
100% |
11428
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
2393
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
12197
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13570
104.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3260
25.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
22853
182.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31485
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20308
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22477
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3497
129.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6411
237.4 IPS |
|
|
Text Classification (SP)
|
100% |
1945
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1729
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4021
80.8 IPS |
