GRT H90 Pro
Geekbench ML Score
3919
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 06:07 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GRT H90 Pro |
| Motherboard | GRT H90 Pro |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1646
308.1 IPS |
|
|
Image Classification (F16)
|
100% |
1687
315.6 IPS |
|
|
Image Classification (I8)
|
100% |
1469
274.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2279
38.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2347
39.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1978
33.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
25995
31.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
27712
33.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
20688
25.1 IPS |
|
|
Object Detection (F32)
|
100% |
1433
107.0 IPS |
|
|
Object Detection (F16)
|
100% |
1272
94.9 IPS |
|
|
Object Detection (I8)
|
62% |
1306
97.5 IPS |
|
|
Face Detection (F32)
|
100% |
4263
50.7 IPS |
|
|
Face Detection (F16)
|
100% |
4237
50.4 IPS |
|
|
Face Detection (I8)
|
89% |
3276
38.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
10765
83.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10737
83.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
9208
71.4 IPS |
|
|
Style Transfer (F32)
|
100% |
25217
33.2 IPS |
|
|
Style Transfer (F16)
|
100% |
24535
32.3 IPS |
|
|
Style Transfer (I8)
|
98% |
23857
31.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3955
141.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4796
171.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3537
126.3 IPS |
|
|
Text Classification (F32)
|
100% |
1449
2.08 KIPS |
|
|
Text Classification (F16)
|
100% |
1253
1.80 KIPS |
|
|
Text Classification (I8)
|
98% |
1203
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
1656
30.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1638
30.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1106
20.3 IPS |
