Firebat_Computer MN56
Geekbench AI Score
3019
Single Precision Score
1311
Half Precision Score
5957
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 09:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Firebat_Computer MN56 |
| Motherboard | SZQFTX MI2-SC |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2516
467.9 IPS |
|
|
Image Classification (HP)
|
100% |
490
91.1 IPS |
|
|
Image Classification (Q)
|
99% |
5670
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7321
119.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4845
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3915
4.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
17721
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2376
188.5 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
86% |
5641
453.4 IPS |
|
|
Face Detection (SP)
|
100% |
5151
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
7941
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6274
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1889
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5265
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11734
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9553
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22233
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1842
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4369
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
1370
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
613
817.9 IPS |
|
|
Text Classification (Q)
|
97% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1851
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2608
52.4 IPS |
