Acer Nitro AN515-57
Geekbench AI Score
14980
Single Precision Score
18991
Half Precision Score
9950
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 29 2025 03:12 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% |
5596
1.04 KIPS |
|
|
Image Classification (HP)
|
99% |
6915
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
4216
784.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6918
112.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7879
127.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5143
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
146063
170.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
255473
298.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
107984
126.4 IPS |
|
|
Object Detection (SP)
|
100% |
7104
563.5 IPS |
|
|
Object Detection (HP)
|
100% |
7873
624.5 IPS |
|
|
Object Detection (Q)
|
89% |
4887
391.2 IPS |
|
|
Face Detection (SP)
|
100% |
13381
159.0 IPS |
|
|
Face Detection (HP)
|
100% |
14914
177.2 IPS |
|
|
Face Detection (Q)
|
97% |
10796
128.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
49319
380.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
66878
515.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
28972
233.5 IPS |
|
|
Style Transfer (SP)
|
100% |
218844
281.3 IPS |
|
|
Style Transfer (HP)
|
100% |
412628
530.4 IPS |
|
|
Style Transfer (Q)
|
98% |
164146
211.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28634
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35685
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18298
677.6 IPS |
|
|
Text Classification (SP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (HP)
|
99% |
2148
2.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1120
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (Q)
|
60% |
790
17.6 IPS |
