Acer Nitro AN515-57
Geekbench AI Score
14790
Single Precision Score
18985
Half Precision Score
9974
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 29 2025 03:06 PM |
| Views | 4 |
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% |
5533
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
6505
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
4178
776.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6150
99.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7153
115.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4883
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
135800
158.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
226927
264.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
105852
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
7059
559.9 IPS |
|
|
Object Detection (HP)
|
100% |
7434
589.7 IPS |
|
|
Object Detection (Q)
|
89% |
5195
415.9 IPS |
|
|
Face Detection (SP)
|
100% |
14597
173.4 IPS |
|
|
Face Detection (HP)
|
100% |
18354
218.1 IPS |
|
|
Face Detection (Q)
|
97% |
10640
126.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
48401
372.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
73246
564.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
30775
248.0 IPS |
|
|
Style Transfer (SP)
|
100% |
222820
286.4 IPS |
|
|
Style Transfer (HP)
|
100% |
414700
533.1 IPS |
|
|
Style Transfer (Q)
|
98% |
159676
205.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28813
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35408
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18294
677.4 IPS |
|
|
Text Classification (SP)
|
100% |
1986
2.65 KIPS |
|
|
Text Classification (HP)
|
99% |
2236
2.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1141
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1705
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1756
30.2 IPS |
|
|
Machine Translation (Q)
|
60% |
796
17.8 IPS |
