Acer Nitro AN515-57
Geekbench AI Score
15284
Single Precision Score
20015
Half Precision Score
10502
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 29 2025 03:16 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% |
5407
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
6738
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
4077
758.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6237
101.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7505
121.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6036
98.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
142181
165.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
259732
303.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
115899
135.7 IPS |
|
|
Object Detection (SP)
|
100% |
7214
572.2 IPS |
|
|
Object Detection (HP)
|
100% |
8455
670.6 IPS |
|
|
Object Detection (Q)
|
89% |
5391
431.6 IPS |
|
|
Face Detection (SP)
|
100% |
16274
193.4 IPS |
|
|
Face Detection (HP)
|
100% |
18904
224.6 IPS |
|
|
Face Detection (Q)
|
97% |
11647
138.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
51105
393.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75045
578.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
31141
251.0 IPS |
|
|
Style Transfer (SP)
|
100% |
227767
292.8 IPS |
|
|
Style Transfer (HP)
|
100% |
417646
536.9 IPS |
|
|
Style Transfer (Q)
|
98% |
166934
215.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29156
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36109
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18415
681.9 IPS |
|
|
Text Classification (SP)
|
100% |
2026
2.70 KIPS |
|
|
Text Classification (HP)
|
99% |
2403
3.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1195
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (Q)
|
60% |
797
17.8 IPS |
