Micro-Star International Co., Ltd. GF65 Thin 10SDR
Geekbench AI Score
1258
Single Precision Score
1243
Half Precision Score
764
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | October 23 2025 10:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (KDE Plasma Desktop Edition) |
| Model | Micro-Star International Co., Ltd. GF65 Thin 10SDR |
| Motherboard | Micro-Star International Co., Ltd. MS-16W1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1094
203.5 IPS |
|
|
Image Classification (HP)
|
100% |
1078
200.4 IPS |
|
|
Image Classification (Q)
|
99% |
509
95.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
607
9.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
1549
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1542
1.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
1398
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
991
78.6 IPS |
|
|
Object Detection (HP)
|
100% |
924
73.3 IPS |
|
|
Object Detection (Q)
|
85% |
544
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
1504
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
1090
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1460
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1359
10.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
936
8.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1912
2.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1806
2.32 IPS |
|
|
Style Transfer (Q)
|
98% |
2903
3.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
734
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1066
1.42 KIPS |
|
|
Text Classification (Q)
|
92% |
383
514.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (Q)
|
58% |
347
8.15 IPS |
