Acer Nitro AN515-57
Geekbench AI Score
14602
Single Precision Score
18911
Half Precision Score
9973
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 29 2025 03:14 PM |
| Views | 2 |
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% |
5643
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
6868
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
3944
733.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6785
110.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7714
125.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5871
95.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
143303
167.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
249875
291.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
109075
127.7 IPS |
|
|
Object Detection (SP)
|
100% |
6890
546.5 IPS |
|
|
Object Detection (HP)
|
100% |
7649
606.7 IPS |
|
|
Object Detection (Q)
|
89% |
4911
393.1 IPS |
|
|
Face Detection (SP)
|
100% |
16129
191.7 IPS |
|
|
Face Detection (HP)
|
100% |
18199
216.2 IPS |
|
|
Face Detection (Q)
|
97% |
12044
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
48735
375.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
69648
536.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
28759
231.8 IPS |
|
|
Style Transfer (SP)
|
100% |
205135
263.7 IPS |
|
|
Style Transfer (HP)
|
100% |
411476
529.0 IPS |
|
|
Style Transfer (Q)
|
98% |
160448
206.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27611
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35344
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17576
650.8 IPS |
|
|
Text Classification (SP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (HP)
|
99% |
2146
2.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1129
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1408
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1461
25.2 IPS |
|
|
Machine Translation (Q)
|
60% |
712
15.9 IPS |
