SYSTEM_MANUFACTURER HX90
Geekbench AI Score
3309
Single Precision Score
1436
Half Precision Score
5282
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 13 2025 01:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SYSTEM_MANUFACTURER HX90 |
| Motherboard | Default string HX90 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2576
479.1 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (Q)
|
96% |
4883
911.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
5815
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5283
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3887
4.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
11487
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (Q)
|
58% |
3292
359.7 IPS |
|
|
Face Detection (SP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
1382
16.4 IPS |
|
|
Face Detection (Q)
|
96% |
7849
93.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7592
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2136
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10223
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12895
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10336
13.3 IPS |
|
|
Style Transfer (Q)
|
87% |
15558
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4284
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
1769
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1494
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1971
38.1 IPS |
