Micro-Star International Co., Ltd. Raider GE76 12UHS
Geekbench AI Score
15772
Single Precision Score
24475
Half Precision Score
9968
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 06:47 AM |
| Views | 3 |
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% |
5526
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
8556
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
4140
770.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9998
162.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14025
227.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7917
128.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
93322
108.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
231543
270.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
77769
91.1 IPS |
|
|
Object Detection (SP)
|
100% |
7275
577.1 IPS |
|
|
Object Detection (HP)
|
100% |
11825
938.0 IPS |
|
|
Object Detection (Q)
|
89% |
4980
398.6 IPS |
|
|
Face Detection (SP)
|
100% |
18429
219.0 IPS |
|
|
Face Detection (HP)
|
100% |
26681
317.0 IPS |
|
|
Face Detection (Q)
|
97% |
13251
158.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
37990
292.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
67890
523.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
24347
196.2 IPS |
|
|
Style Transfer (SP)
|
100% |
161555
207.7 IPS |
|
|
Style Transfer (HP)
|
100% |
399500
513.6 IPS |
|
|
Style Transfer (Q)
|
98% |
126292
162.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26093
963.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32081
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14059
520.6 IPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
3335
4.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1219
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3058
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3033
52.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1093
24.4 IPS |
