Acer Nitro AN515-57
Geekbench AI Score
14693
Single Precision Score
19437
Half Precision Score
10146
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 29 2025 03:05 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% |
5665
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
6863
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
4059
754.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6874
111.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7758
125.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5969
97.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
144663
168.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
253082
295.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
110970
129.9 IPS |
|
|
Object Detection (SP)
|
100% |
6687
530.4 IPS |
|
|
Object Detection (HP)
|
100% |
8463
671.3 IPS |
|
|
Object Detection (Q)
|
89% |
5199
416.2 IPS |
|
|
Face Detection (SP)
|
100% |
16049
190.7 IPS |
|
|
Face Detection (HP)
|
100% |
19382
230.3 IPS |
|
|
Face Detection (Q)
|
97% |
11913
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
46126
355.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72337
557.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
30334
244.5 IPS |
|
|
Style Transfer (SP)
|
100% |
216630
278.5 IPS |
|
|
Style Transfer (HP)
|
100% |
406838
523.0 IPS |
|
|
Style Transfer (Q)
|
98% |
155622
200.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27695
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35146
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17476
647.1 IPS |
|
|
Text Classification (SP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (HP)
|
99% |
2245
3.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1066
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1500
25.8 IPS |
|
|
Machine Translation (Q)
|
60% |
790
17.6 IPS |
