Acer Nitro AN515-57
Geekbench AI Score
15535
Single Precision Score
20096
Half Precision Score
10637
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | December 01 2025 03:58 AM |
| Views | 5 |
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% |
5860
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
7031
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
4172
775.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7064
114.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7954
128.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6065
98.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
150175
175.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
258053
301.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
115480
135.2 IPS |
|
|
Object Detection (SP)
|
100% |
6940
550.5 IPS |
|
|
Object Detection (HP)
|
100% |
8489
673.3 IPS |
|
|
Object Detection (Q)
|
89% |
5246
420.0 IPS |
|
|
Face Detection (SP)
|
100% |
16198
192.5 IPS |
|
|
Face Detection (HP)
|
100% |
19013
225.9 IPS |
|
|
Face Detection (Q)
|
97% |
12560
149.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
50034
385.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
73727
568.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
31390
253.0 IPS |
|
|
Style Transfer (SP)
|
100% |
223062
286.7 IPS |
|
|
Style Transfer (HP)
|
100% |
410512
527.7 IPS |
|
|
Style Transfer (Q)
|
98% |
167356
215.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28556
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36213
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17794
658.9 IPS |
|
|
Text Classification (SP)
|
100% |
1976
2.64 KIPS |
|
|
Text Classification (HP)
|
99% |
2280
3.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1182
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1861
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (Q)
|
60% |
872
19.5 IPS |
