Micro-Star International Co., Ltd. Pulse GL66 12UGKV
Geekbench AI Score
13228
Single Precision Score
21818
Half Precision Score
8429
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | aaoossaleh |
| Upload Date | April 08 2026 06:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Pulse GL66 12UGKV |
| Motherboard | Micro-Star International Co., Ltd. MS-1583 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4431
824.1 IPS |
|
|
Image Classification (HP)
|
99% |
8623
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
3547
659.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9894
160.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13432
217.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7125
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
70067
81.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
200151
233.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
58588
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
6107
484.4 IPS |
|
|
Object Detection (HP)
|
100% |
8710
690.9 IPS |
|
|
Object Detection (Q)
|
85% |
4344
349.7 IPS |
|
|
Face Detection (SP)
|
100% |
16359
194.4 IPS |
|
|
Face Detection (HP)
|
100% |
23964
284.7 IPS |
|
|
Face Detection (Q)
|
97% |
10584
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32460
250.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
59027
454.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
21053
168.5 IPS |
|
|
Style Transfer (SP)
|
100% |
119018
153.0 IPS |
|
|
Style Transfer (HP)
|
100% |
337630
434.0 IPS |
|
|
Style Transfer (Q)
|
98% |
98965
127.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25131
928.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33194
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13479
499.1 IPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1072
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2234
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (Q)
|
70% |
884
16.6 IPS |
