GIGABYTE A5 X1
Geekbench ML Score
11394
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Clementin |
| Upload Date | June 04 2025 05:33 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | GIGABYTE A5 X1 |
| Motherboard | GIGABYTE A5 X1 |
| Power Plan | Utilisation normale |
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5744
1.07 KIPS |
|
|
Image Classification (F16)
|
100% |
5816
1.09 KIPS |
|
|
Image Classification (I8)
|
100% |
4340
812.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
7472
124.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7591
126.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
6157
102.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
79184
95.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
80282
97.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
65324
79.1 IPS |
|
|
Object Detection (F32)
|
100% |
4328
323.1 IPS |
|
|
Object Detection (F16)
|
100% |
4357
325.3 IPS |
|
|
Object Detection (I8)
|
63% |
3428
255.9 IPS |
|
|
Face Detection (F32)
|
100% |
15199
180.7 IPS |
|
|
Face Detection (F16)
|
100% |
15500
184.3 IPS |
|
|
Face Detection (I8)
|
89% |
12146
144.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
34122
264.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
38043
295.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
26954
209.0 IPS |
|
|
Style Transfer (F32)
|
100% |
123674
162.7 IPS |
|
|
Style Transfer (F16)
|
100% |
123345
162.2 IPS |
|
|
Style Transfer (I8)
|
98% |
101417
133.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23740
847.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22420
800.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13262
473.6 IPS |
|
|
Text Classification (F32)
|
100% |
1942
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
1946
2.80 KIPS |
|
|
Text Classification (I8)
|
98% |
1038
1.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
2555
47.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2558
47.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1317
24.2 IPS |
