Metabox Alpha-X NH58AF
Geekbench AI Score
12646
Single Precision Score
22060
Half Precision Score
8841
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 01:01 AM |
| Views | 4 |
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% |
5287
983.2 IPS |
|
|
Image Classification (HP)
|
100% |
9345
1.74 KIPS |
|
|
Image Classification (Q)
|
99% |
4117
767.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9233
149.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13595
220.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7312
118.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
58268
68.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
176194
205.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
49122
57.6 IPS |
|
|
Object Detection (SP)
|
100% |
6306
500.2 IPS |
|
|
Object Detection (HP)
|
100% |
11082
879.1 IPS |
|
|
Object Detection (Q)
|
84% |
4896
394.9 IPS |
|
|
Face Detection (SP)
|
100% |
15294
181.7 IPS |
|
|
Face Detection (HP)
|
100% |
24912
296.0 IPS |
|
|
Face Detection (Q)
|
97% |
12217
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30179
232.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
58199
448.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
21388
171.3 IPS |
|
|
Style Transfer (SP)
|
100% |
96798
124.4 IPS |
|
|
Style Transfer (HP)
|
100% |
249634
320.9 IPS |
|
|
Style Transfer (Q)
|
98% |
80014
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19693
727.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31941
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12576
465.7 IPS |
|
|
Text Classification (SP)
|
100% |
1892
2.53 KIPS |
|
|
Text Classification (HP)
|
99% |
2698
3.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1132
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1354
25.4 IPS |
