Micro-Star International Co., Ltd. Pulse GL76 12UEK
Geekbench AI Score
2425
Single Precision Score
2533
Half Precision Score
1578
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | February 15 2025 07:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1018
189.3 IPS |
|
|
Image Classification (HP)
|
100% |
1141
212.2 IPS |
|
|
Image Classification (Q)
|
100% |
903
168.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1162
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7697
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
9064
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
4760
5.58 IPS |
|
|
Object Detection (SP)
|
100% |
1165
92.4 IPS |
|
|
Object Detection (HP)
|
98% |
1065
84.8 IPS |
|
|
Object Detection (Q)
|
86% |
998
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
2300
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2806
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
1736
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4737
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5249
40.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3408
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18369
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24789
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12626
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2990
110.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1294
47.9 IPS |
|
|
Text Classification (SP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
439
586.1 IPS |
|
|
Text Classification (Q)
|
97% |
443
593.2 IPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
70% |
450
8.44 IPS |
