Intel MSX12
Geekbench AI Score
15050
Single Precision Score
24502
Half Precision Score
9671
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 05:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5000 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Intel MSX12 |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5895
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
8584
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
4227
786.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10705
173.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16236
263.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8056
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
78170
91.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
214548
250.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63939
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
7741
614.0 IPS |
|
|
Object Detection (HP)
|
100% |
12225
969.7 IPS |
|
|
Object Detection (Q)
|
85% |
5629
453.2 IPS |
|
|
Face Detection (SP)
|
100% |
19548
232.3 IPS |
|
|
Face Detection (HP)
|
100% |
29953
355.9 IPS |
|
|
Face Detection (Q)
|
97% |
14243
169.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
36099
278.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
67519
520.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
24238
194.1 IPS |
|
|
Style Transfer (SP)
|
100% |
129182
166.1 IPS |
|
|
Style Transfer (HP)
|
100% |
333294
428.5 IPS |
|
|
Style Transfer (Q)
|
98% |
102047
131.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24486
904.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33549
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14110
522.5 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
99% |
2977
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1024
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1148
21.5 IPS |
