ASRock H610M-H2/M.2 D5
Geekbench AI Score
9034
Single Precision Score
17688
Half Precision Score
6326
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | January 24 2025 05:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock H610M-H2/M.2 D5 |
| Motherboard | ASRock H610M-H2/M.2 D5 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3915
728.0 IPS |
|
|
Image Classification (HP)
|
99% |
8076
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
3149
587.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5473
88.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9244
149.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4453
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37705
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
129217
150.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
31515
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4378
347.3 IPS |
|
|
Object Detection (HP)
|
100% |
9798
777.2 IPS |
|
|
Object Detection (Q)
|
84% |
3596
290.0 IPS |
|
|
Face Detection (SP)
|
100% |
8791
104.5 IPS |
|
|
Face Detection (HP)
|
100% |
17018
202.2 IPS |
|
|
Face Detection (Q)
|
97% |
7526
89.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21442
165.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46526
358.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
14981
120.1 IPS |
|
|
Style Transfer (SP)
|
100% |
63720
81.9 IPS |
|
|
Style Transfer (HP)
|
100% |
180194
231.6 IPS |
|
|
Style Transfer (Q)
|
98% |
51329
66.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13219
488.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26495
978.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8134
301.2 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
2863
3.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1219
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2795
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2932
50.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1127
21.1 IPS |
