Acer Nitro AN515-57
Geekbench AI Score
14400
Single Precision Score
18602
Half Precision Score
9807
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 28 2025 05:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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% |
5828
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
6688
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
3787
704.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6014
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6544
106.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4717
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
134527
157.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
258524
301.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
106023
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
6971
553.0 IPS |
|
|
Object Detection (HP)
|
100% |
8000
634.6 IPS |
|
|
Object Detection (Q)
|
89% |
5064
405.4 IPS |
|
|
Face Detection (SP)
|
100% |
14479
172.0 IPS |
|
|
Face Detection (HP)
|
100% |
14740
175.1 IPS |
|
|
Face Detection (Q)
|
97% |
11488
137.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
48506
373.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
72233
556.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
31045
250.2 IPS |
|
|
Style Transfer (SP)
|
100% |
209337
269.1 IPS |
|
|
Style Transfer (HP)
|
100% |
408361
525.0 IPS |
|
|
Style Transfer (Q)
|
98% |
165179
213.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27588
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35154
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17243
638.5 IPS |
|
|
Text Classification (SP)
|
100% |
1933
2.58 KIPS |
|
|
Text Classification (HP)
|
99% |
2266
3.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1130
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1583
27.3 IPS |
|
|
Machine Translation (Q)
|
60% |
748
16.7 IPS |
