Micro-Star International Co., Ltd. Raider GE76 12UHS
Geekbench AI Score
15067
Single Precision Score
23979
Half Precision Score
9535
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 06:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Raider GE76 12UHS |
| Motherboard | Micro-Star International Co., Ltd. MS-17K4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4862
904.1 IPS |
|
|
Image Classification (HP)
|
99% |
7208
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
3484
648.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9603
155.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13393
217.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7956
129.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
95635
111.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
229256
267.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
76163
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
7491
594.2 IPS |
|
|
Object Detection (HP)
|
100% |
13113
1.04 KIPS |
|
|
Object Detection (Q)
|
89% |
5089
407.3 IPS |
|
|
Face Detection (SP)
|
100% |
16634
197.6 IPS |
|
|
Face Detection (HP)
|
100% |
24794
294.6 IPS |
|
|
Face Detection (Q)
|
97% |
12855
153.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
36758
283.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
66803
514.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
24125
194.4 IPS |
|
|
Style Transfer (SP)
|
100% |
161240
207.3 IPS |
|
|
Style Transfer (HP)
|
100% |
386745
497.2 IPS |
|
|
Style Transfer (Q)
|
98% |
128015
165.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21902
808.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31206
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13464
498.6 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3779
5.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1007
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2843
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2867
49.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1075
24.0 IPS |
