Micro-Star International Co., Ltd. GE75 Raider 8SE
Geekbench AI Score
9899
Single Precision Score
17369
Half Precision Score
7009
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vamiri5 |
| Upload Date | August 17 2024 08:49 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GE75 Raider 8SE |
| Motherboard | Micro-Star International Co., Ltd. MS-17E2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4144
770.6 IPS |
|
|
Image Classification (HP)
|
100% |
7433
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
3283
610.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7028
113.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9999
162.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5893
95.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
42596
49.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
126320
147.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37691
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
5070
402.1 IPS |
|
|
Object Detection (HP)
|
100% |
8927
708.1 IPS |
|
|
Object Detection (Q)
|
89% |
4033
322.8 IPS |
|
|
Face Detection (SP)
|
100% |
11362
135.0 IPS |
|
|
Face Detection (HP)
|
100% |
17975
213.6 IPS |
|
|
Face Detection (Q)
|
97% |
8964
106.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24658
190.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47729
367.7 IPS |
|
|
Depth Estimation (Q)
|
70% |
16611
139.9 IPS |
|
|
Style Transfer (SP)
|
100% |
78372
100.7 IPS |
|
|
Style Transfer (HP)
|
100% |
199823
256.9 IPS |
|
|
Style Transfer (Q)
|
98% |
66102
85.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14882
549.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25163
929.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9677
358.3 IPS |
|
|
Text Classification (SP)
|
100% |
1695
2.26 KIPS |
|
|
Text Classification (HP)
|
99% |
2608
3.48 KIPS |
|
|
Text Classification (Q)
|
97% |
976
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2596
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2651
45.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1047
23.4 IPS |
