Acer Nitro AN515-57
Geekbench AI Score
15138
Single Precision Score
19622
Half Precision Score
10189
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 29 2025 03:03 PM |
| Views | 3 |
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% |
5798
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
6937
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
4155
772.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7017
113.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7991
129.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5733
93.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
142268
166.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
248787
290.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
114079
133.6 IPS |
|
|
Object Detection (SP)
|
100% |
6979
553.5 IPS |
|
|
Object Detection (HP)
|
100% |
8427
668.4 IPS |
|
|
Object Detection (Q)
|
89% |
5061
405.2 IPS |
|
|
Face Detection (SP)
|
100% |
15324
182.1 IPS |
|
|
Face Detection (HP)
|
100% |
18411
218.8 IPS |
|
|
Face Detection (Q)
|
97% |
12002
143.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
48380
372.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
70466
542.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
27883
224.7 IPS |
|
|
Style Transfer (SP)
|
100% |
218959
281.5 IPS |
|
|
Style Transfer (HP)
|
100% |
407537
523.9 IPS |
|
|
Style Transfer (Q)
|
98% |
163353
210.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28094
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
34511
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17585
651.2 IPS |
|
|
Text Classification (SP)
|
100% |
1943
2.59 KIPS |
|
|
Text Classification (HP)
|
99% |
2284
3.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1158
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1747
30.1 IPS |
|
|
Machine Translation (Q)
|
60% |
788
17.6 IPS |
