Default string Default string
Geekbench AI Score
7032
Single Precision Score
10557
Half Precision Score
5005
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | July 03 2025 06:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2478
460.8 IPS |
|
|
Image Classification (HP)
|
100% |
4027
749.0 IPS |
|
|
Image Classification (Q)
|
100% |
1953
363.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3765
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4563
74.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3040
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
38793
45.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
69767
81.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
27245
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2352
186.6 IPS |
|
|
Object Detection (HP)
|
100% |
3290
260.9 IPS |
|
|
Object Detection (Q)
|
89% |
1894
151.6 IPS |
|
|
Face Detection (SP)
|
100% |
5211
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
9405
111.7 IPS |
|
|
Face Detection (Q)
|
97% |
3879
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15761
121.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24285
187.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
11476
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
62275
80.1 IPS |
|
|
Style Transfer (HP)
|
100% |
106600
137.0 IPS |
|
|
Style Transfer (Q)
|
98% |
42086
54.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12488
461.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21890
808.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7522
278.5 IPS |
|
|
Text Classification (SP)
|
100% |
2484
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1752
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2191
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1305
29.1 IPS |
