Micro-Star International Co., Ltd. Pulse GL76 12UEK
Geekbench AI Score
12585
Single Precision Score
21382
Half Precision Score
8612
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | January 29 2025 08:02 PM |
| Views | 2 |
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% |
5021
933.8 IPS |
|
|
Image Classification (HP)
|
99% |
8865
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
3633
677.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7849
127.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11243
182.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6602
107.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
63032
73.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
177869
207.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
49974
58.6 IPS |
|
|
Object Detection (SP)
|
100% |
6408
508.3 IPS |
|
|
Object Detection (HP)
|
100% |
10905
865.0 IPS |
|
|
Object Detection (Q)
|
85% |
5134
413.3 IPS |
|
|
Face Detection (SP)
|
100% |
14832
176.2 IPS |
|
|
Face Detection (HP)
|
100% |
22977
273.0 IPS |
|
|
Face Detection (Q)
|
97% |
11996
143.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
30073
231.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57471
442.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
21146
169.3 IPS |
|
|
Style Transfer (SP)
|
100% |
108621
139.6 IPS |
|
|
Style Transfer (HP)
|
100% |
271533
349.1 IPS |
|
|
Style Transfer (Q)
|
98% |
89069
114.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19345
714.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31903
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11939
442.1 IPS |
|
|
Text Classification (SP)
|
100% |
2535
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3256
4.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1145
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2637
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1182
22.2 IPS |
