Acer Nitro AN515-57
Geekbench AI Score
13622
Single Precision Score
22753
Half Precision Score
9385
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alphabenchman82 |
| Upload Date | April 24 2025 01:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro AN515-57 |
| Motherboard | TGL Scala_TLS |
| Power Plan | Acer |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5833
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
8954
1.67 KIPS |
|
|
Image Classification (Q)
|
100% |
4322
803.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9558
154.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14237
230.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7761
126.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
64962
75.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
208191
242.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
56768
66.5 IPS |
|
|
Object Detection (SP)
|
100% |
7043
558.6 IPS |
|
|
Object Detection (HP)
|
100% |
11789
935.1 IPS |
|
|
Object Detection (Q)
|
85% |
5424
436.6 IPS |
|
|
Face Detection (SP)
|
100% |
16616
197.4 IPS |
|
|
Face Detection (HP)
|
100% |
28103
333.9 IPS |
|
|
Face Detection (Q)
|
97% |
13876
165.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
34511
265.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
65581
505.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
23770
190.3 IPS |
|
|
Style Transfer (SP)
|
100% |
118293
152.1 IPS |
|
|
Style Transfer (HP)
|
100% |
300698
386.6 IPS |
|
|
Style Transfer (Q)
|
98% |
93473
120.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22082
815.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31091
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13347
494.2 IPS |
|
|
Text Classification (SP)
|
100% |
2034
2.71 KIPS |
|
|
Text Classification (HP)
|
99% |
2407
3.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1068
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2832
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2867
49.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1169
21.9 IPS |
