Micro-Star International Co., Ltd. Stealth GS66 12UGS
Geekbench AI Score
13034
Single Precision Score
22071
Half Precision Score
8672
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | a0545 |
| Upload Date | March 29 2025 05:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth GS66 12UGS |
| Motherboard | Micro-Star International Co., Ltd. MS-16V5 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4565
849.0 IPS |
|
|
Image Classification (HP)
|
99% |
8284
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
3768
700.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9762
158.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14958
242.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7658
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
66506
77.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
201056
234.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
56785
66.5 IPS |
|
|
Object Detection (SP)
|
100% |
6944
550.8 IPS |
|
|
Object Detection (HP)
|
100% |
9704
769.7 IPS |
|
|
Object Detection (Q)
|
85% |
5217
419.9 IPS |
|
|
Face Detection (SP)
|
100% |
15523
184.4 IPS |
|
|
Face Detection (HP)
|
100% |
26074
309.8 IPS |
|
|
Face Detection (Q)
|
97% |
11707
139.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
31615
243.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
64358
495.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
22895
183.4 IPS |
|
|
Style Transfer (SP)
|
100% |
119769
154.0 IPS |
|
|
Style Transfer (HP)
|
100% |
314230
403.9 IPS |
|
|
Style Transfer (Q)
|
98% |
101322
130.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20196
745.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26249
969.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12941
479.2 IPS |
|
|
Text Classification (SP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (HP)
|
99% |
2947
3.93 KIPS |
|
|
Text Classification (Q)
|
97% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2619
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1007
18.9 IPS |
