Acer Nitro AN515-57
Geekbench AI Score
15232
Single Precision Score
19679
Half Precision Score
10062
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | December 01 2025 03:19 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% |
5784
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
6922
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
4124
766.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6739
109.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7872
127.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5701
92.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
143887
167.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
251930
294.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
104419
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
7221
572.8 IPS |
|
|
Object Detection (HP)
|
100% |
8427
668.5 IPS |
|
|
Object Detection (Q)
|
89% |
5165
413.5 IPS |
|
|
Face Detection (SP)
|
100% |
15428
183.3 IPS |
|
|
Face Detection (HP)
|
100% |
18345
218.0 IPS |
|
|
Face Detection (Q)
|
97% |
11839
141.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
48467
373.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72588
559.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
28122
226.7 IPS |
|
|
Style Transfer (SP)
|
100% |
219296
281.9 IPS |
|
|
Style Transfer (HP)
|
100% |
403109
518.2 IPS |
|
|
Style Transfer (Q)
|
98% |
153740
198.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28396
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35953
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17865
661.5 IPS |
|
|
Text Classification (SP)
|
100% |
2001
2.67 KIPS |
|
|
Text Classification (HP)
|
99% |
2238
2.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1162
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1782
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (Q)
|
60% |
790
17.6 IPS |
