SH MM 1 i7 14 Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
4861
Single Precision Score
9436
Half Precision Score
3542
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 18 2025 09:53 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 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% |
1891
351.6 IPS |
|
|
Image Classification (HP)
|
99% |
4415
823.5 IPS |
|
|
Image Classification (Q)
|
99% |
1840
343.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5122
83.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2550
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15674
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
57332
66.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13758
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
4904
389.0 IPS |
|
|
Object Detection (Q)
|
83% |
2010
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
4979
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
7974
94.8 IPS |
|
|
Face Detection (Q)
|
97% |
4264
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9981
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22466
173.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7954
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26908
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
75328
96.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23028
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6791
250.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11024
407.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4202
155.6 IPS |
|
|
Text Classification (SP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (HP)
|
99% |
2452
3.27 KIPS |
|
|
Text Classification (Q)
|
97% |
828
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2413
41.7 IPS |
|
|
Machine Translation (Q)
|
70% |
884
16.6 IPS |
