Micro-Star International Co., Ltd. Pulse GL76 12UEK
Geekbench AI Score
1236
Single Precision Score
580
Half Precision Score
2726
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | February 15 2025 07:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Pulse GL76 12UEK |
| Motherboard | Micro-Star International Co., Ltd. MS-17L3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
979
182.1 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.1 IPS |
|
|
Image Classification (Q)
|
99% |
2477
462.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1829
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1248
1.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
6626
7.77 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (Q)
|
86% |
2467
198.3 IPS |
|
|
Face Detection (SP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.30 IPS |
|
|
Face Detection (Q)
|
97% |
3849
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1998
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
820
6.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
6024
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4410
5.67 IPS |
|
|
Style Transfer (HP)
|
100% |
3137
4.03 IPS |
|
|
Style Transfer (Q)
|
98% |
7951
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
795
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1737
64.3 IPS |
|
|
Text Classification (SP)
|
100% |
683
912.1 IPS |
|
|
Text Classification (HP)
|
100% |
334
445.2 IPS |
|
|
Text Classification (Q)
|
97% |
973
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
65% |
1224
24.6 IPS |
