SH MM 1 i5 14 Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
1638
Single Precision Score
1686
Half Precision Score
1114
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 18 2025 04:06 AM |
| 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 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% |
702
130.6 IPS |
|
|
Image Classification (HP)
|
100% |
728
135.3 IPS |
|
|
Image Classification (Q)
|
100% |
609
113.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5200
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5713
6.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
3489
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
791
62.7 IPS |
|
|
Object Detection (HP)
|
98% |
671
53.4 IPS |
|
|
Object Detection (Q)
|
86% |
662
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
1202
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3039
23.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3335
25.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2254
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10659
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14417
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7936
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2476
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
921
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
437
583.2 IPS |
|
|
Text Classification (Q)
|
97% |
380
509.0 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
70% |
363
6.81 IPS |
