Micro-Star International Co., Ltd. Prestige 14 AI+ D3MG
Geekbench AI Score
17684
Single Precision Score
45186
Half Precision Score
56632
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 07 2026 09:08 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B390 GPU (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 14 AI+ D3MG |
| Motherboard | Micro-Star International Co., Ltd. MS-14T2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra X7 368H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9495
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
19194
3.57 KIPS |
|
|
Image Classification (Q)
|
100% |
27898
5.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18290
296.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
50830
824.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
54394
881.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
43738
51.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
226733
264.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
487732
571.0 IPS |
|
|
Object Detection (SP)
|
100% |
10224
811.0 IPS |
|
|
Object Detection (HP)
|
100% |
25183
2.00 KIPS |
|
|
Object Detection (Q)
|
88% |
34006
2.73 KIPS |
|
|
Face Detection (SP)
|
100% |
19736
234.5 IPS |
|
|
Face Detection (HP)
|
100% |
54174
643.7 IPS |
|
|
Face Detection (Q)
|
100% |
73808
877.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
37384
288.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83435
642.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
106975
831.9 IPS |
|
|
Style Transfer (SP)
|
100% |
110266
141.7 IPS |
|
|
Style Transfer (HP)
|
100% |
417859
537.2 IPS |
|
|
Style Transfer (Q)
|
98% |
601108
775.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16570
611.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59511
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81210
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
5750
7.68 KIPS |
|
|
Text Classification (HP)
|
100% |
6328
8.45 KIPS |
|
|
Text Classification (Q)
|
92% |
3873
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4971
85.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8957
154.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9032
155.6 IPS |
