ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR
Geekbench AI Score
21994
Single Precision Score
32721
Half Precision Score
17238
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dgbrownnt |
| Upload Date | February 04 2025 07:31 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR |
| Motherboard | ASUSTeK COMPUTER INC. G634JZR |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8947
1.66 KIPS |
|
|
Image Classification (HP)
|
99% |
14269
2.66 KIPS |
|
|
Image Classification (Q)
|
100% |
7577
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12517
202.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15071
244.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11810
192.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
135011
157.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
334570
390.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
123167
144.3 IPS |
|
|
Object Detection (SP)
|
100% |
10716
850.0 IPS |
|
|
Object Detection (HP)
|
100% |
15939
1.26 KIPS |
|
|
Object Detection (Q)
|
85% |
8970
722.1 IPS |
|
|
Face Detection (SP)
|
100% |
29843
354.6 IPS |
|
|
Face Detection (HP)
|
100% |
37308
443.3 IPS |
|
|
Face Detection (Q)
|
97% |
26249
313.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
56115
432.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
91064
703.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
43529
348.0 IPS |
|
|
Style Transfer (SP)
|
100% |
233363
300.0 IPS |
|
|
Style Transfer (HP)
|
100% |
553613
711.7 IPS |
|
|
Style Transfer (Q)
|
98% |
219257
282.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38783
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47302
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26909
996.4 IPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4132
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1913
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1818
34.1 IPS |
