Acer Nitro AN515-57
Geekbench AI Score
15587
Single Precision Score
20091
Half Precision Score
10448
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | December 01 2025 03:39 AM |
| Views | 7 |
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% |
5859
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
6913
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
3739
695.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6928
112.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7978
129.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5883
95.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
152500
177.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
257352
300.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
115677
135.5 IPS |
|
|
Object Detection (SP)
|
100% |
7161
568.0 IPS |
|
|
Object Detection (HP)
|
100% |
8515
675.4 IPS |
|
|
Object Detection (Q)
|
89% |
5182
414.9 IPS |
|
|
Face Detection (SP)
|
100% |
16532
196.4 IPS |
|
|
Face Detection (HP)
|
100% |
19163
227.7 IPS |
|
|
Face Detection (Q)
|
97% |
12396
147.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
50337
387.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72719
560.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
30966
249.6 IPS |
|
|
Style Transfer (SP)
|
100% |
227769
292.8 IPS |
|
|
Style Transfer (HP)
|
100% |
417780
537.1 IPS |
|
|
Style Transfer (Q)
|
98% |
169946
219.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28909
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35932
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18260
676.1 IPS |
|
|
Text Classification (SP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (HP)
|
99% |
2278
3.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1195
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1861
32.0 IPS |
|
|
Machine Translation (Q)
|
60% |
826
18.4 IPS |
