ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Geekbench AI Score
7588
Single Precision Score
7133
Half Precision Score
19665
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 08:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX 390 w/ Radeon 8050S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max 390 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5227
972.2 IPS |
|
|
Image Classification (HP)
|
100% |
4962
922.7 IPS |
|
|
Image Classification (Q)
|
100% |
13171
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5213
84.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5060
82.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14122
228.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11779
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11570
13.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
43820
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
4874
386.6 IPS |
|
|
Object Detection (HP)
|
100% |
4910
389.5 IPS |
|
|
Object Detection (Q)
|
88% |
13366
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
10189
121.1 IPS |
|
|
Face Detection (HP)
|
100% |
10511
124.9 IPS |
|
|
Face Detection (Q)
|
100% |
37217
442.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12013
92.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11707
90.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34553
268.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33089
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33240
42.7 IPS |
|
|
Style Transfer (Q)
|
98% |
114823
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4229
156.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13267
491.3 IPS |
|
|
Text Classification (SP)
|
100% |
4166
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (Q)
|
92% |
5889
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5534
95.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4586
79.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6884
118.6 IPS |
