ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MZ_GU605MZ
Geekbench AI Score
19810
Single Precision Score
29590
Half Precision Score
15424
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 03:59 PM |
| Views | 2 |
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 Zephyrus G16 GU605MZ_GU605MZ |
| Motherboard | ASUSTeK COMPUTER INC. GU605MZ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7721
1.44 KIPS |
|
|
Image Classification (HP)
|
99% |
10952
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
6783
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13013
210.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16019
259.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12045
195.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
126076
147.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
324389
378.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
111157
130.2 IPS |
|
|
Object Detection (SP)
|
100% |
9259
734.4 IPS |
|
|
Object Detection (HP)
|
100% |
13437
1.07 KIPS |
|
|
Object Detection (Q)
|
89% |
7852
628.5 IPS |
|
|
Face Detection (SP)
|
100% |
24881
295.6 IPS |
|
|
Face Detection (HP)
|
100% |
32802
389.8 IPS |
|
|
Face Detection (Q)
|
97% |
21476
256.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
49854
384.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86258
666.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
39205
315.8 IPS |
|
|
Style Transfer (SP)
|
100% |
212413
273.1 IPS |
|
|
Style Transfer (HP)
|
100% |
520334
668.9 IPS |
|
|
Style Transfer (Q)
|
98% |
196309
253.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33068
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41366
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25348
938.6 IPS |
|
|
Text Classification (SP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (HP)
|
99% |
3251
4.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1595
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3399
58.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1600
35.7 IPS |
