Intel RVP MT08
Geekbench AI Score
2377
Single Precision Score
1114
Half Precision Score
3138
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 06 2024 03:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel RVP MT08 |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (Q)
|
99% |
2799
522.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2239
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4378
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3195
3.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
15127
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
88% |
1580
126.7 IPS |
|
|
Face Detection (SP)
|
100% |
2087
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
2799
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4937
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1663
12.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6211
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10582
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7650
9.83 IPS |
|
|
Style Transfer (Q)
|
98% |
12724
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3273
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
1414
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.7 IPS |
|
|
Text Classification (Q)
|
97% |
481
644.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.43 IPS |
|
|
Machine Translation (Q)
|
60% |
1778
39.7 IPS |
