Acer Nitro AN515-57
Geekbench AI Score
12574
Single Precision Score
15843
Half Precision Score
8450
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 28 2025 11:43 AM |
| Views | 11 |
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% |
4980
926.2 IPS |
|
|
Image Classification (HP)
|
99% |
5783
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
3688
685.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5595
90.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5857
95.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4640
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
117090
136.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
194738
227.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
85805
100.5 IPS |
|
|
Object Detection (SP)
|
100% |
5860
464.9 IPS |
|
|
Object Detection (HP)
|
100% |
6509
516.3 IPS |
|
|
Object Detection (Q)
|
89% |
4440
355.4 IPS |
|
|
Face Detection (SP)
|
100% |
12883
153.1 IPS |
|
|
Face Detection (HP)
|
100% |
14961
177.8 IPS |
|
|
Face Detection (Q)
|
97% |
9944
118.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
40773
314.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
61782
476.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
24659
198.7 IPS |
|
|
Style Transfer (SP)
|
100% |
173221
222.7 IPS |
|
|
Style Transfer (HP)
|
100% |
308182
396.2 IPS |
|
|
Style Transfer (Q)
|
98% |
124724
160.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23105
853.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27680
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13478
499.1 IPS |
|
|
Text Classification (SP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
1684
2.25 KIPS |
|
|
Text Classification (Q)
|
97% |
952
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (Q)
|
60% |
726
16.2 IPS |
