Micro-Star International Co., Ltd. GE75 Raider 9SG
Geekbench AI Score
13912
Single Precision Score
22758
Half Precision Score
9694
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | January 04 2026 07:54 PM |
| Views | 2 |
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% |
5674
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8677
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
4296
801.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9632
156.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13476
218.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7931
129.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
71974
84.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
205031
239.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
60514
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
7180
569.5 IPS |
|
|
Object Detection (HP)
|
100% |
11065
877.6 IPS |
|
|
Object Detection (Q)
|
84% |
5626
453.8 IPS |
|
|
Face Detection (SP)
|
100% |
17260
205.1 IPS |
|
|
Face Detection (HP)
|
100% |
27011
321.0 IPS |
|
|
Face Detection (Q)
|
97% |
13632
162.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
36050
277.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
65476
504.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
24660
197.5 IPS |
|
|
Style Transfer (SP)
|
100% |
125757
161.7 IPS |
|
|
Style Transfer (HP)
|
100% |
290870
373.9 IPS |
|
|
Style Transfer (Q)
|
98% |
105206
135.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22816
842.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33285
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13783
510.4 IPS |
|
|
Text Classification (SP)
|
100% |
1768
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2749
3.67 KIPS |
|
|
Text Classification (Q)
|
97% |
998
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2985
51.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1299
24.4 IPS |
