Firebat_Computer MN56
Geekbench AI Score
4237
Single Precision Score
4187
Half Precision Score
11950
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 09:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2678
498.0 IPS |
|
|
Image Classification (HP)
|
100% |
2688
499.8 IPS |
|
|
Image Classification (Q)
|
100% |
8062
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3133
50.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2687
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8757
142.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5047
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5064
5.91 IPS |
|
|
Pose Estimation (Q)
|
98% |
21128
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (Q)
|
88% |
8144
652.9 IPS |
|
|
Face Detection (SP)
|
100% |
6317
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
6172
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
20209
240.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6684
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6495
50.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
18861
146.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14238
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14225
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
52649
67.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3037
112.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3000
110.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10490
388.5 IPS |
|
|
Text Classification (SP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2713
3.62 KIPS |
|
|
Text Classification (Q)
|
92% |
4107
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4019
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3999
68.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5659
97.5 IPS |
