Acer Nitro ANV15-41
Geekbench ML Score
10823
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 12:04 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro ANV15-41 |
| Motherboard | RB Sportage_RBH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5559
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5515
1.03 KIPS |
|
|
Image Classification (I8)
|
100% |
5013
938.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
7266
121.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
7463
124.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
6718
112.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
57713
69.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
57810
70.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
52611
63.7 IPS |
|
|
Object Detection (F32)
|
100% |
3700
276.2 IPS |
|
|
Object Detection (F16)
|
100% |
3757
280.5 IPS |
|
|
Object Detection (I8)
|
61% |
3208
239.5 IPS |
|
|
Face Detection (F32)
|
100% |
13629
162.1 IPS |
|
|
Face Detection (F16)
|
100% |
13709
163.0 IPS |
|
|
Face Detection (I8)
|
89% |
11648
138.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
26069
202.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
31794
246.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
26892
208.5 IPS |
|
|
Style Transfer (F32)
|
100% |
118213
155.5 IPS |
|
|
Style Transfer (F16)
|
100% |
93317
122.8 IPS |
|
|
Style Transfer (I8)
|
98% |
86765
114.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19794
706.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19460
695.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13782
492.2 IPS |
|
|
Text Classification (F32)
|
100% |
2275
3.27 KIPS |
|
|
Text Classification (F16)
|
100% |
2243
3.22 KIPS |
|
|
Text Classification (I8)
|
98% |
1403
2.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
2842
52.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2832
52.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1728
31.8 IPS |
