Metabox Alpha-X NH58AF
Geekbench AI Score
12556
Single Precision Score
21921
Half Precision Score
8698
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 01:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Metabox Alpha-X NH58AF |
| Motherboard | IT Channel Pty Ltd NH5xAx |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5194
965.9 IPS |
|
|
Image Classification (HP)
|
100% |
9397
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
4040
753.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9318
151.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13474
218.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7156
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56953
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
173085
202.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
47719
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
6199
491.7 IPS |
|
|
Object Detection (HP)
|
100% |
11156
884.9 IPS |
|
|
Object Detection (Q)
|
84% |
4808
387.8 IPS |
|
|
Face Detection (SP)
|
100% |
15340
182.3 IPS |
|
|
Face Detection (HP)
|
100% |
25034
297.5 IPS |
|
|
Face Detection (Q)
|
97% |
12156
145.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30304
233.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
58421
450.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
21540
172.5 IPS |
|
|
Style Transfer (SP)
|
100% |
95327
122.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238797
307.0 IPS |
|
|
Style Transfer (Q)
|
98% |
78803
101.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19803
731.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31894
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12387
458.7 IPS |
|
|
Text Classification (SP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (HP)
|
99% |
2703
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1097
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3461
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3481
60.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1333
25.0 IPS |
