Micro-Star International Co., Ltd. GE75 Raider 9SG
Geekbench AI Score
13816
Single Precision Score
22669
Half Precision Score
9649
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | January 04 2026 07:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. GE75 Raider 9SG |
| Motherboard | Micro-Star International Co., Ltd. MS-17E2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5655
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
8941
1.66 KIPS |
|
|
Image Classification (Q)
|
99% |
4281
798.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9828
159.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13204
214.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7830
127.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
71658
83.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
205278
239.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59753
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
7093
562.6 IPS |
|
|
Object Detection (HP)
|
100% |
10989
871.7 IPS |
|
|
Object Detection (Q)
|
84% |
5597
451.4 IPS |
|
|
Face Detection (SP)
|
100% |
17031
202.4 IPS |
|
|
Face Detection (HP)
|
100% |
26984
320.6 IPS |
|
|
Face Detection (Q)
|
97% |
13582
162.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
35407
272.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
64074
493.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
24723
198.0 IPS |
|
|
Style Transfer (SP)
|
100% |
132285
170.1 IPS |
|
|
Style Transfer (HP)
|
100% |
298073
383.2 IPS |
|
|
Style Transfer (Q)
|
98% |
101914
131.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22550
832.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33214
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13980
517.7 IPS |
|
|
Text Classification (SP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2640
3.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1002
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2934
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2979
51.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1302
24.4 IPS |
