SH MM 1 i7 14 Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
1728
Single Precision Score
1784
Half Precision Score
1171
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 18 2025 09:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
751
139.6 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.7 IPS |
|
|
Image Classification (Q)
|
100% |
627
116.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
800
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5380
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5921
6.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
3618
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (HP)
|
98% |
719
57.2 IPS |
|
|
Object Detection (Q)
|
86% |
696
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
1683
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
1260
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3149
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3455
26.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2324
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11077
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14954
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8204
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1881
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2615
96.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
961
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
488
651.1 IPS |
|
|
Text Classification (Q)
|
97% |
430
576.4 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
70% |
389
7.30 IPS |
