RTX 5070 Acer N60-641
Geekbench AI Score
29361
Single Precision Score
51272
Half Precision Score
22801
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jsaregular |
| Upload Date | March 26 2026 05:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer N60-641 |
| Motherboard | Gigabyte B760M C V3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11151
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
18571
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
10258
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22741
368.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
34304
556.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20538
334.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
167442
195.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
490884
572.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
144936
169.8 IPS |
|
|
Object Detection (SP)
|
100% |
15181
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
24835
1.97 KIPS |
|
|
Object Detection (Q)
|
83% |
12990
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
41901
497.9 IPS |
|
|
Face Detection (HP)
|
100% |
61603
732.0 IPS |
|
|
Face Detection (Q)
|
97% |
35467
422.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
70259
541.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
136102
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55722
444.8 IPS |
|
|
Style Transfer (SP)
|
100% |
236782
304.4 IPS |
|
|
Style Transfer (HP)
|
100% |
802346
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
200834
259.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41922
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77365
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33725
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3764
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4556
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2370
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6717
115.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6818
117.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3019
56.6 IPS |
