Micro-Star International Co., Ltd. Pulse GL76 12UEK
Geekbench AI Score
12843
Single Precision Score
22085
Half Precision Score
9053
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | February 15 2025 07:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| 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% |
5356
996.1 IPS |
|
|
Image Classification (HP)
|
99% |
9030
1.68 KIPS |
|
|
Image Classification (Q)
|
99% |
4187
780.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8114
131.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11869
192.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6697
108.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
63212
73.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178698
208.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
52948
62.0 IPS |
|
|
Object Detection (SP)
|
100% |
6592
522.9 IPS |
|
|
Object Detection (HP)
|
100% |
11383
902.9 IPS |
|
|
Object Detection (Q)
|
85% |
5334
429.4 IPS |
|
|
Face Detection (SP)
|
100% |
15315
182.0 IPS |
|
|
Face Detection (HP)
|
100% |
22793
270.8 IPS |
|
|
Face Detection (Q)
|
97% |
12220
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
32250
248.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
64675
499.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
22763
182.2 IPS |
|
|
Style Transfer (SP)
|
100% |
110634
142.2 IPS |
|
|
Style Transfer (HP)
|
100% |
289217
371.8 IPS |
|
|
Style Transfer (Q)
|
98% |
87948
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18384
678.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30751
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12850
475.8 IPS |
|
|
Text Classification (SP)
|
100% |
2516
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3332
4.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1200
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2669
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2899
49.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1239
23.2 IPS |
