Acer Nitro AN515-57
Geekbench AI Score
15317
Single Precision Score
19463
Half Precision Score
10137
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | December 01 2025 04:17 AM |
| 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% |
5782
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
6851
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
4273
794.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6785
110.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7839
127.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5844
95.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
148024
172.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
247835
289.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
109528
128.3 IPS |
|
|
Object Detection (SP)
|
100% |
7165
568.4 IPS |
|
|
Object Detection (HP)
|
100% |
8294
657.9 IPS |
|
|
Object Detection (Q)
|
89% |
4901
392.4 IPS |
|
|
Face Detection (SP)
|
100% |
14819
176.1 IPS |
|
|
Face Detection (HP)
|
100% |
17154
203.8 IPS |
|
|
Face Detection (Q)
|
97% |
10246
122.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
50957
392.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
72519
558.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
29569
238.3 IPS |
|
|
Style Transfer (SP)
|
100% |
217166
279.2 IPS |
|
|
Style Transfer (HP)
|
100% |
408983
525.8 IPS |
|
|
Style Transfer (Q)
|
98% |
160266
206.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28138
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35372
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18130
671.3 IPS |
|
|
Text Classification (SP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (HP)
|
99% |
2142
2.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1171
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1855
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (Q)
|
60% |
830
18.5 IPS |
