Acer Aspire C27-195ES
Geekbench AI Score
4297
Single Precision Score
7057
Half Precision Score
10315
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gMaX |
| Upload Date | November 18 2024 02:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Acer Aspire C27-195ES |
| Motherboard | Acer Aspire C27-195ES |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3042
565.8 IPS |
|
|
Image Classification (HP)
|
100% |
4745
882.4 IPS |
|
|
Image Classification (Q)
|
100% |
5838
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5724
92.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6996
113.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10686
12.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10093
11.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
29553
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
4641
368.1 IPS |
|
|
Object Detection (Q)
|
88% |
7070
566.6 IPS |
|
|
Face Detection (SP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
9565
113.7 IPS |
|
|
Face Detection (Q)
|
100% |
16219
192.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9597
73.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
18126
140.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
20989
163.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25409
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35132
45.2 IPS |
|
|
Style Transfer (Q)
|
98% |
73598
94.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4379
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7780
287.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12288
455.1 IPS |
|
|
Text Classification (SP)
|
71% |
1483
2.15 KIPS |
|
|
Text Classification (HP)
|
71% |
2196
3.18 KIPS |
|
|
Text Classification (Q)
|
92% |
2276
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2314
40.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2281
39.3 IPS |
