MONSTER ABRA A5 V15.2
Geekbench AI Score
6280
Single Precision Score
5409
Half Precision Score
4523
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sebastianmoranx |
| Upload Date | March 07 2025 12:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MONSTER ABRA A5 V15.2 |
| Motherboard | MONSTER ABRA A5 V15.2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2570
477.9 IPS |
|
|
Image Classification (HP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (Q)
|
99% |
2219
414.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3799
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3742
60.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3201
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25551
29.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16902
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21583
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
3394
269.2 IPS |
|
|
Object Detection (HP)
|
100% |
3253
258.0 IPS |
|
|
Object Detection (Q)
|
83% |
2835
229.0 IPS |
|
|
Face Detection (SP)
|
100% |
6321
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
6305
74.9 IPS |
|
|
Face Detection (Q)
|
97% |
5312
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15614
120.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12153
93.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11729
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
47501
61.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33804
43.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38934
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8226
303.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7625
281.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5715
211.6 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
619
828.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2003
34.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2140
37.0 IPS |
|
|
Machine Translation (Q)
|
70% |
962
18.0 IPS |
