ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UI_GA403UI
Geekbench AI Score
4997
Single Precision Score
4957
Half Precision Score
13791
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | August 15 2024 06:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UI_GA403UI |
| Motherboard | ASUSTeK COMPUTER INC. GA403UI |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3530
656.5 IPS |
|
|
Image Classification (HP)
|
100% |
3505
651.8 IPS |
|
|
Image Classification (Q)
|
100% |
9348
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7852
127.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6700
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
6950
8.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
21035
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
3082
244.5 IPS |
|
|
Object Detection (HP)
|
100% |
3031
240.4 IPS |
|
|
Object Detection (Q)
|
88% |
8381
671.8 IPS |
|
|
Face Detection (SP)
|
100% |
6451
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
6269
74.5 IPS |
|
|
Face Detection (Q)
|
100% |
22769
270.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8479
65.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
9184
70.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
23830
188.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18997
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16892
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
74958
96.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4221
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4326
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15262
565.2 IPS |
|
|
Text Classification (SP)
|
100% |
3735
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3820
5.10 KIPS |
|
|
Text Classification (Q)
|
92% |
5272
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4190
72.2 IPS |
|
|
Machine Translation (Q)
|
85% |
5877
102.7 IPS |
