SH MM 1 i5 14a Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
4677
Single Precision Score
9136
Half Precision Score
3407
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 18 2025 08:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A9321-00 |
| Motherboard | BCM Advanced Research BC680R |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1734
322.5 IPS |
|
|
Image Classification (HP)
|
99% |
3855
719.0 IPS |
|
|
Image Classification (Q)
|
99% |
1531
285.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2955
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5238
84.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2516
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15652
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
56841
66.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13629
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2177
172.7 IPS |
|
|
Object Detection (HP)
|
100% |
4631
367.3 IPS |
|
|
Object Detection (Q)
|
83% |
1913
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
7639
90.8 IPS |
|
|
Face Detection (Q)
|
97% |
4128
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9743
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21515
165.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7862
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26676
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
74927
96.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22871
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10551
389.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4186
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
1659
2.21 KIPS |
|
|
Text Classification (HP)
|
99% |
2426
3.24 KIPS |
|
|
Text Classification (Q)
|
97% |
768
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2419
41.8 IPS |
|
|
Machine Translation (Q)
|
70% |
881
16.5 IPS |
