MONSTER ABRA A7 V11.5
Geekbench AI Score
10027
Single Precision Score
19011
Half Precision Score
6788
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fsg |
| Upload Date | September 16 2025 08:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | MONSTER ABRA A7 V11.5 |
| Motherboard | MONSTER ABRA A7 V11.5 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4427
823.3 IPS |
|
|
Image Classification (HP)
|
99% |
8070
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
3518
656.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5986
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10308
167.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5000
81.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
43338
50.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153220
178.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
36011
42.2 IPS |
|
|
Object Detection (SP)
|
100% |
5405
428.7 IPS |
|
|
Object Detection (HP)
|
100% |
9903
785.5 IPS |
|
|
Object Detection (Q)
|
84% |
3722
300.2 IPS |
|
|
Face Detection (SP)
|
100% |
9849
117.0 IPS |
|
|
Face Detection (HP)
|
100% |
17381
206.5 IPS |
|
|
Face Detection (Q)
|
97% |
7975
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22867
176.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54898
424.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
16545
132.7 IPS |
|
|
Style Transfer (SP)
|
100% |
74940
96.3 IPS |
|
|
Style Transfer (HP)
|
100% |
196370
252.4 IPS |
|
|
Style Transfer (Q)
|
98% |
60126
77.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15321
565.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28788
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8334
308.6 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3099
4.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1174
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2764
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2923
50.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1135
21.3 IPS |
