SH MM 1 i5 14 Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
4621
Single Precision Score
9153
Half Precision Score
3447
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 18 2025 04:19 AM |
| Views | 7 |
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% |
1654
307.6 IPS |
|
|
Image Classification (HP)
|
99% |
4040
753.5 IPS |
|
|
Image Classification (Q)
|
99% |
1588
296.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2965
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5228
84.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2519
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15551
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
56331
65.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13652
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2155
170.9 IPS |
|
|
Object Detection (HP)
|
100% |
4544
360.4 IPS |
|
|
Object Detection (Q)
|
83% |
2023
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
4835
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
7636
90.7 IPS |
|
|
Face Detection (Q)
|
97% |
4145
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9702
74.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21664
166.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
7799
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26764
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
74049
95.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22872
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10877
401.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4221
156.3 IPS |
|
|
Text Classification (SP)
|
100% |
1635
2.18 KIPS |
|
|
Text Classification (HP)
|
99% |
2433
3.25 KIPS |
|
|
Text Classification (Q)
|
97% |
784
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2203
37.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2356
40.7 IPS |
|
|
Machine Translation (Q)
|
70% |
878
16.5 IPS |
