Acer Nitro AN515-46
Geekbench AI Score
15833
Single Precision Score
26001
Half Precision Score
10469
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Dante18mc |
| Upload Date | February 21 2026 07:35 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro AN515-46 |
| Motherboard | RB Jimny_RBH |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6369
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
9542
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
4689
872.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10833
175.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16511
267.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8520
138.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
82199
95.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
245171
286.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
68261
80.0 IPS |
|
|
Object Detection (SP)
|
100% |
8117
643.8 IPS |
|
|
Object Detection (HP)
|
100% |
13066
1.04 KIPS |
|
|
Object Detection (Q)
|
85% |
6040
486.2 IPS |
|
|
Face Detection (SP)
|
100% |
18779
223.1 IPS |
|
|
Face Detection (HP)
|
100% |
29009
344.7 IPS |
|
|
Face Detection (Q)
|
97% |
14479
172.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
40749
313.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78406
604.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
26788
214.6 IPS |
|
|
Style Transfer (SP)
|
100% |
142466
183.1 IPS |
|
|
Style Transfer (HP)
|
100% |
362577
466.1 IPS |
|
|
Style Transfer (Q)
|
98% |
114219
147.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26343
972.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37651
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15501
574.0 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2776
3.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1132
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1236
23.2 IPS |
