Acer Nitro AN515-57
Geekbench AI Score
15621
Single Precision Score
20072
Half Precision Score
10620
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | December 01 2025 03:50 AM |
| Views | 9 |
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% |
5686
1.06 KIPS |
|
|
Image Classification (HP)
|
99% |
6947
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
4143
770.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7067
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8076
130.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6105
99.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
148996
173.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
259006
302.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
116088
135.9 IPS |
|
|
Object Detection (SP)
|
100% |
7269
576.6 IPS |
|
|
Object Detection (HP)
|
100% |
8363
663.3 IPS |
|
|
Object Detection (Q)
|
89% |
5206
416.8 IPS |
|
|
Face Detection (SP)
|
100% |
16434
195.3 IPS |
|
|
Face Detection (HP)
|
100% |
18914
224.7 IPS |
|
|
Face Detection (Q)
|
97% |
12431
148.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
49702
382.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
73397
565.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
31222
251.6 IPS |
|
|
Style Transfer (SP)
|
100% |
222664
286.2 IPS |
|
|
Style Transfer (HP)
|
100% |
408962
525.7 IPS |
|
|
Style Transfer (Q)
|
98% |
167170
215.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28748
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35995
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18222
674.7 IPS |
|
|
Text Classification (SP)
|
100% |
2039
2.72 KIPS |
|
|
Text Classification (HP)
|
99% |
2311
3.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1865
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (Q)
|
60% |
873
19.5 IPS |
