Micro-Star International Co., Ltd. Raider GE76 12UHS
Geekbench AI Score
16152
Single Precision Score
25306
Half Precision Score
10111
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 07:19 PM |
| Views | 2 |
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% |
5858
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
9659
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
4396
817.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10394
168.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13549
219.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8185
133.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
103559
120.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
249810
291.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
80595
94.4 IPS |
|
|
Object Detection (SP)
|
100% |
7538
597.9 IPS |
|
|
Object Detection (HP)
|
100% |
12739
1.01 KIPS |
|
|
Object Detection (Q)
|
89% |
5194
415.8 IPS |
|
|
Face Detection (SP)
|
100% |
18596
221.0 IPS |
|
|
Face Detection (HP)
|
100% |
26692
317.2 IPS |
|
|
Face Detection (Q)
|
97% |
13400
159.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38135
293.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73701
567.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
25396
204.7 IPS |
|
|
Style Transfer (SP)
|
100% |
163166
209.8 IPS |
|
|
Style Transfer (HP)
|
100% |
369940
475.6 IPS |
|
|
Style Transfer (Q)
|
98% |
115102
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25112
927.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31896
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14312
529.9 IPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3735
4.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1204
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1099
24.5 IPS |
