MicroElectronics G758
Geekbench AI Score
4290
Single Precision Score
4291
Half Precision Score
2432
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | apedley |
| Upload Date | October 26 2025 01:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | MicroElectronics G758 |
| Motherboard | Micro-Star International Co., Ltd. PRO B850-VC WIFI (MS-7E56) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.27 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3126
581.3 IPS |
|
|
Image Classification (HP)
|
100% |
3104
577.2 IPS |
|
|
Image Classification (Q)
|
99% |
1856
346.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4124
66.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4128
66.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1561
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4587
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4617
5.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
5155
6.04 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
2511
199.2 IPS |
|
|
Object Detection (Q)
|
85% |
1618
130.2 IPS |
|
|
Face Detection (SP)
|
100% |
7122
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
7110
84.5 IPS |
|
|
Face Detection (Q)
|
97% |
3774
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5237
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5250
40.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3170
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4740
6.09 IPS |
|
|
Style Transfer (HP)
|
100% |
4742
6.10 IPS |
|
|
Style Transfer (Q)
|
98% |
8822
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3428
126.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3410
125.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2492
92.4 IPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3586
4.79 KIPS |
|
|
Text Classification (Q)
|
92% |
1171
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6692
115.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6589
113.5 IPS |
|
|
Machine Translation (Q)
|
58% |
976
22.9 IPS |
