MONSTER ABRA A7 V16.1
Geekbench AI Score
13215
Single Precision Score
22583
Half Precision Score
10422
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 21 2025 10:32 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | MONSTER ABRA A7 V16.1 |
| Motherboard | MONSTER ABRA A7 V16.1 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4643
863.4 IPS |
|
|
Image Classification (HP)
|
99% |
10998
2.05 KIPS |
|
|
Image Classification (Q)
|
99% |
4260
794.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8774
142.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12087
195.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8291
134.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
59755
69.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
185948
217.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
55252
64.7 IPS |
|
|
Object Detection (SP)
|
100% |
6104
484.2 IPS |
|
|
Object Detection (HP)
|
100% |
9062
718.8 IPS |
|
|
Object Detection (Q)
|
84% |
5319
429.0 IPS |
|
|
Face Detection (SP)
|
100% |
16860
200.3 IPS |
|
|
Face Detection (HP)
|
100% |
23851
283.4 IPS |
|
|
Face Detection (Q)
|
97% |
13644
162.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
29568
227.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58234
448.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
24634
197.1 IPS |
|
|
Style Transfer (SP)
|
100% |
109929
141.3 IPS |
|
|
Style Transfer (HP)
|
100% |
292383
375.9 IPS |
|
|
Style Transfer (Q)
|
98% |
102669
132.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19700
727.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34169
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15792
584.8 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3769
5.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1799
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2946
50.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1487
27.9 IPS |
