Acer Nitro AN515-57
Geekbench AI Score
11139
Single Precision Score
19753
Half Precision Score
7619
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 26 2024 02:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Nitro AN515-57 |
| Motherboard | TGL Scala_TLS |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3143
584.5 IPS |
|
|
Image Classification (HP)
|
99% |
5670
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
2407
447.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7862
127.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11709
189.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6529
106.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
52328
61.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
159117
185.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
45142
52.9 IPS |
|
|
Object Detection (SP)
|
100% |
5857
464.5 IPS |
|
|
Object Detection (HP)
|
100% |
10865
861.8 IPS |
|
|
Object Detection (Q)
|
89% |
4160
333.1 IPS |
|
|
Face Detection (SP)
|
100% |
12923
153.6 IPS |
|
|
Face Detection (HP)
|
100% |
21130
251.1 IPS |
|
|
Face Detection (Q)
|
97% |
10328
123.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27139
209.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56237
434.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
19197
154.7 IPS |
|
|
Style Transfer (SP)
|
100% |
94548
121.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244510
314.3 IPS |
|
|
Style Transfer (Q)
|
98% |
79225
102.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18211
672.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31517
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11697
433.1 IPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
3078
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1195
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1018
22.7 IPS |
