SH MM 1 i7 14a Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
4833
Single Precision Score
9322
Half Precision Score
3522
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 19 2025 01:00 AM |
| 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 i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1962
364.8 IPS |
|
|
Image Classification (HP)
|
99% |
4078
760.5 IPS |
|
|
Image Classification (Q)
|
99% |
1698
316.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5176
83.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2547
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15649
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
57727
67.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13770
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2314
183.6 IPS |
|
|
Object Detection (HP)
|
100% |
4841
384.0 IPS |
|
|
Object Detection (Q)
|
83% |
1975
159.6 IPS |
|
|
Face Detection (SP)
|
100% |
4966
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
7962
94.6 IPS |
|
|
Face Detection (Q)
|
97% |
4255
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9966
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22687
174.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7959
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27005
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
75117
96.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23067
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6347
234.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11172
412.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4287
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
1827
2.44 KIPS |
|
|
Text Classification (HP)
|
99% |
2449
3.27 KIPS |
|
|
Text Classification (Q)
|
97% |
844
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2265
39.1 IPS |
|
|
Machine Translation (Q)
|
70% |
884
16.6 IPS |
